4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.1 Procediments bàsics 4.04.1.1.00 TEORIA EQUACIÓ = EQUILIBRI  
Equació = Equilibri

Com que una equació és un equilibri, 

per a trobar una equació equivalent

FEM EL MATEIX ALS DOS MEMBRES

Sumar : «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#8660;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«/mstyle»«/math»

Restar: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#8201;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#8660;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mi mathvariant=¨bold-italic¨ mathcolor=¨#FF0000¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mi mathvariant=¨bold-italic¨ mathcolor=¨#FF0000¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«/mstyle»«/math»

Multiplicar: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»15«/mn»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨»§#8660;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»15«/mn»«mo mathvariant=¨bold¨»=«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«/mstyle»«/math»

Dividir: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»=«/mo»«mn mathvariant=¨bold¨»15«/mn»«mo mathvariant=¨bold¨»§#8660;«/mo»«mfrac»«mrow»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»5«/mn»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mn mathvariant=¨bold¨»15«/mn»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»5«/mn»«/mfrac»«/mrow»«/mstyle»«/math»

 

 



]]> 0.0000000 0.0000000 0 4.04.1.1.10_1 METODE GENERAL Com que una equació és un equilibri, el mètode per aïllar la x és:

  • sumar o restar les mateixes quantitats als dos membres de l'equació
  • multiplicar o dividir per les mateixes quantitats els dos membres de l'equació.
     
 
]]> 0.0000000 0.0000000 0 4.04.1.1.11Q Balança: sumar o restar  

  

   

              «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨20px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mrow»«/mstyle»«/math»   

 #G

 

 

 

 

 

            «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨20px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mrow»«/mstyle»«/math»   

 

 

Per equilibrar la balança pots fer-ho canviant un dels plats:

a) Quina quantitat caldria afegir o treure en el plat de la dreta per equilibrar la balança?

b) Quina quantitat caldria afegir o treure en el plat de l'esquerra per equilibrar la balança?

Format: positiu per afegir, negatiu per treure

]]> ◊

]]> 1.0000000 0.5000000 0 0 a) =#sol1b)=#sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>n1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>25</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n2</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>25</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>n1</mi><mo>≠</mo><mi>n2</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>:</mo><mo>=</mo><mfrac><mrow><mi>n2</mi><mo>-</mo><mi>n1</mi></mrow><mn>1</mn></mfrac><mo>*</mo><mi>x</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi><mo>=</mo><mi>n1</mi><mo>-</mo><mi>n2</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mo>-</mo><mi>sol1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>T1</mi><mo>=</mo><mi>tauler</mi><mo>(</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>centre</mi><mo>=</mo><mi>punt</mi><mfenced><mrow><mn>0</mn><mo>,</mo><mn>10</mn></mrow></mfenced><mo>,</mo><mi>mostrar_malla</mi><mo>=</mo><mi>fals</mi><mo>,</mo><mo>&nbsp;</mo><mi>mostrar_eixos</mi><mo>=</mo><mi>fals</mi><mo>,</mo><mi>altura_finestra</mi><mo>=</mo><mn>200</mn><mo>,</mo><mi>amplada_finestra</mi><mo>=</mo><mn>120</mn></mtd></mtr></mtable></mfenced><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G</mi><mo>=</mo><mi>dibuixa</mi><mfenced><mrow><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>,</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>amplada_línia</mi><mo>=</mo><mn>5</mn><mo>,</mo><mi>color</mi><mo>=</mo><mi>blau</mi></mtd></mtr></mtable></mfenced></mrow></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>,</mo><mi>n2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4</mn><mo>,</mo><mn>12</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>8</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tauler1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Es comprova fàcilment que: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»sol«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»que«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»sol«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«/mrow»«/mstyle»«/math»

 

]]> 4.04.1.1.12Q Balança: dividir  

  

   

              «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨20px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mrow»«/mstyle»«/math»   

 #G

 

 

 

 

 

            «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨20px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mrow»«/mstyle»«/math»   

 

 

Per equilibrar la balança pots fer-ho canviant un dels plats:

a) Per quina quantitat caldria multiplicar el plat de la dreta per equilibrar la balança?

b) Per quina quantitat caldria multiplicar  el plat de l'esquerra per equilibrar la balança?

Format: enter per multiplicar, fracció per si cal dividir

]]> ◊

]]> 1.0000000 0.5000000 0 0 a) =#sol1b)=#sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>k</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>7</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n11</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>8</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n12</mi><mo>=</mo><mi>k</mi><mo>*</mo><mi>n11</mi></mtd></mtr><mtr><mtd><mi>n21</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>8</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n22</mi><mo>=</mo><mi>k</mi><mo>*</mo><mi>n21</mi></mtd></mtr><mtr><mtd><mi>n1</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>n11</mi><mo>,</mo><mi>n21</mi></mtd></mtr></mtable></mfenced></mfenced></mtd></mtr><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>n1</mi><mo>=</mo><mi>n11</mi></mrow><mrow><mi>n2</mi><mo>=</mo><mi>n12</mi></mrow><mrow><mi>n2</mi><mo>=</mo><mi>n22</mi></mrow></apply></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>n1</mi><mo>≠</mo><mi>n2</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>:</mo><mo>=</mo><mfrac><mi>n2</mi><mrow><mn>4</mn><mo>*</mo><mi>n1</mi></mrow></mfrac><mo>*</mo><mi>x</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi><mo>=</mo><mfrac><mn>1</mn><mi>k</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mi>k</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>T1</mi><mo>=</mo><mi>tauler</mi><mo>(</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>centre</mi><mo>=</mo><mi>punt</mi><mfenced><mrow><mn>0</mn><mo>,</mo><mn>10</mn></mrow></mfenced><mo>,</mo><mi>mostrar_malla</mi><mo>=</mo><mi>fals</mi><mo>,</mo><mo>&nbsp;</mo><mi>mostrar_eixos</mi><mo>=</mo><mi>fals</mi><mo>,</mo><mi>altura_finestra</mi><mo>=</mo><mn>200</mn><mo>,</mo><mi>amplada_finestra</mi><mo>=</mo><mn>150</mn></mtd></mtr></mtable></mfenced><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G</mi><mo>=</mo><mi>dibuixa</mi><mfenced><mrow><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>,</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>amplada_línia</mi><mo>=</mo><mn>5</mn><mo>,</mo><mi>color</mi><mo>=</mo><mi>blau</mi></mtd></mtr></mtable></mfenced></mrow></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>,</mo><mi>n2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7</mn><mo>,</mo><mn>49</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>7</mn><mn>4</mn></mfrac><mo>*</mo><mi>x</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>k</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>1</mn><mn>7</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tauler1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Es comprova fàcilment que: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»sol«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»que«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»sol«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«/mstyle»«/math»

 

]]> 4.04.1.1.50 TEORIA RESOLUCIÓ ax = b  
Resolució de ax = b

Quan ja tenim un sol terme amb les incògnites a l'esquerra i un sol terme de nombres a l'esquerra, n'hi ha prou amb DIVIDIR els dos membres pel coeficient de la incògnita: 

6x = 24

Dividim per 6:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»6«/mn»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨»24«/mn»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8660;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»4«/mn»«/math»

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#FF0000¨»Atenci§#243;«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»:«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#8201;«/mo»«mfrac mathcolor=¨#FF0000¨»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»+«/mo»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»=«/mo»«mfrac mathcolor=¨#FF0000¨»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»-«/mo»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#FF0000¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mfrac mathcolor=¨#FF0000¨»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»-«/mo»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»=«/mo»«mfrac mathcolor=¨#FF0000¨»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»+«/mo»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«/mrow»«/mstyle»«/math»

 

 

 



]]> 0.0000000 0.0000000 0 4.04.1.1.50_1 TEORIA: ax=b Cal dividir els dos membres pel nombre que multiplica la x

]]> 0.0000000 0.0000000 0 4.04.1.1.51Q Tipus ax=b Resol l'equació:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-3/2 (simplificada)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>mcd</mi><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mi>b</mi><mi>a</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>30</mn><mo>,</mo><mo>-</mo><mn>76</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>38</mn><mn>15</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal dividir els dos membres per a (#a):
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»*«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«/mrow»«/mstyle»«/math»

 

i SIMPLIFICAR

]]> 4.04.1.1.52Q Tipus ax=b (a positiu, b negatiu) Resol l'equació:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-3/2 (simplificada)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>mcd</mi><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mi>b</mi><mi>a</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>57</mn><mo>,</mo><mo>-</mo><mn>24</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>8</mn><mn>19</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal dividir els dos membres per a (#a):
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac mathcolor=¨#007F00¨»«mrow»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»*«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mfrac mathcolor=¨#007F00¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»simplificant«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mfrac mathcolor=¨#007F00¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«/math»

]]> 4.04.1.1.53Q Tipus ax=b (a i b negatius) Resoleu l'equació: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-3/2 (simplificada)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>b</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>a</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr></mtable><mrow><mi>mcd</mi><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mi>b</mi><mi>a</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>66</mn><mo>,</mo><mn>8</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>4</mn><mn>33</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal dividir els dos membres per a (#a):
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac mathcolor=¨#007F00¨»«mrow»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»*«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mfrac mathcolor=¨#007F00¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#160;«/mo»«mfrac mathcolor=¨#007F00¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«/math»i cal simplificar

 

]]> 4.04.1.1.54Q Tipus ax=b (a negatiu, b positiu) Resol l'equació:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-3/2 (simplificada)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>7</mn><mo>,</mo><mn>77</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>mcd</mi><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mi>b</mi><mi>a</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>66</mn><mo>,</mo><mn>8</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>4</mn><mn>33</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal dividir els dos membres per a (#a):
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»*«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8660;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«/mrow»«/mstyle»«/math»

I SIMPLIFICAR

 

]]> 4.04.1.1.70 TEORIA INCOMPATIBLE INDETERMINADA  
Equació = Equilibri

Com que una equació és un equilibri, 

per a trobar una equació equivalent

FEM EL MATEIX ALS DOS MEMBRES

Sumar : «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#8660;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«/mstyle»«/math»

Restar: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#8201;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#8660;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mi mathvariant=¨bold-italic¨ mathcolor=¨#FF0000¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»6«/mn»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»2«/mn»«mi mathvariant=¨bold-italic¨ mathcolor=¨#FF0000¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mn mathvariant=¨bold¨»3«/mn»«/mstyle»«/math»

Multiplicar: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»15«/mn»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨»§#8660;«/mo»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»15«/mn»«mo mathvariant=¨bold¨»=«/mo»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«/mstyle»«/math»

Dividir: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold-italic¨»x«/mi»«mo mathvariant=¨bold¨»=«/mo»«mn mathvariant=¨bold¨»15«/mn»«mo mathvariant=¨bold¨»§#8660;«/mo»«mfrac»«mrow»«mn mathvariant=¨bold¨»5«/mn»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»5«/mn»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mn mathvariant=¨bold¨»15«/mn»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»5«/mn»«/mfrac»«/mrow»«/mstyle»«/math»

 

 



]]> 0.0000000 0.0000000 0 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.2 Transposar termes 4.04.1.2.10 TEORIA RESOLDRE x ± b = c  
Resoldre x ± b = c

Si b està sumant el restem als dos membres:

 x +

Si b està restant el sumem als dos membres:

x  + 3 = 5 + 3
 



]]> 0.0000000 0.0000000 0 4.04.1.2.10_1 TEORIA: TRANSPOSICIÓ NOMBRE  

 
]]> 0.0000000 0.0000000 0 4.04.1.2.11Q tipus x+/-b=0 Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»0«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.5000000 0 0 #r_11 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;restem&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;sumem&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol 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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;73&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;restem&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> #k #l als dos membres: x #n #l #o #l = #c #o #l

]]> 4.04.1.2.12Q tipus x+/-b=0_2 Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»0«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.5000000 0 0 #r_11 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;restem&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;sumem&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol 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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;restem&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> #k #l als dos membres: x #n #l #o #l = #c #o #l

]]> 4.04.1.2.21Q tipus x+/-b=c Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»c«/mi»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mi>restem</mi></mrow><mrow><mi>k</mi><mo>=</mo><mi>sumem</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mi>b</mi></mrow><mrow><mi>l</mi><mo>=</mo><mo>-</mo><mi>b</mi></mrow></apply><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>m</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>13</mn><mo>,</mo><mo>-</mo><mn>75</mn><mo>,</mo><mn>77</mn><mo>,</mo><mn>152</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sumem</mi><mo>,</mo><mn>75</mn><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mn>152</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> #k #l als dos membres: x #n #l #o #l = #c #o #l

]]> 4.04.1.2.22Q tipus x+/-b=c_2 Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»c«/mi»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mi>restem</mi></mrow><mrow><mi>k</mi><mo>=</mo><mi>sumem</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mi>b</mi></mrow><mrow><mi>l</mi><mo>=</mo><mo>-</mo><mi>b</mi></mrow></apply><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>m</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>13</mn><mo>,</mo><mo>-</mo><mn>75</mn><mo>,</mo><mn>77</mn><mo>,</mo><mn>152</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sumem</mi><mo>,</mo><mn>75</mn><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mn>152</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> #k #l als dos membres: x #n #l #o #l = #c #o #l

]]> 4.04.1.2.30 TEORIA RESOLDRE ax+b=c  
Resoldre ax + b = c

Es fa amb dos passos:  2x + 3 = 7

1. Sumar o restar el terme independent als dos membres: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»7«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#FF0000¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#FF0000¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8660;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»4«/mn»«/mstyle»«/math»

2. Dividir els dos membres pel coeficient de la x:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»2«/mn»«/mfrac»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨»4«/mn»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»2«/mn»«/mfrac»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#8660;«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»x«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»=«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mn mathcolor=¨#00007F¨ mathvariant=¨bold¨»2«/mn»«/mstyle»«/math»

Cal simplificar el resultat!
 



]]> 0.0000000 0.0000000 0 4.04.1.2.30_1 TEORIA: RESOLDRE ax+b=c  

]]> 0.0000000 0.0000000 0 4.04.1.2.31Q tipus ax ± b=c Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»c«/mi»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mi>restem</mi></mrow><mrow><mi>k</mi><mo>=</mo><mi>sumem</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mi>b</mi></mrow><mrow><mi>l</mi><mo>=</mo><mo>-</mo><mi>b</mi></mrow></apply><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mrow><mi>c</mi><mo>-</mo><mi>b</mi></mrow><mi>a</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>m</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>,</mo><mn>52</mn><mo>,</mo><mo>-</mo><mn>88</mn><mo>,</mo><mo>-</mo><mn>140</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>restem</mi><mo>,</mo><mn>52</mn><mo>,</mo><mo>+</mo><mo>,</mo><mo>-</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>52</mn><mo>=</mo><mo>-</mo><mn>88</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>140</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>70</mn><mn>43</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> #k #l als dos membres: #a x #n #l #o #l = #c #o #l

Et queda: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mrow»«/mstyle»«/math»

]]> A partir de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mrow»«/mstyle»«/math»,

divideixes els dos membres per «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«/mrow»«/mstyle»«/math»

i SIMPLIFIQUES el resultat.

]]> 4.04.1.2.32Q tipus ax ± b=c_2 Resol l'equació:     «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»c«/mi»«/mstyle»«/math»

Format de la resposta: x=-5 (enter)

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>100</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mi>restem</mi></mrow><mrow><mi>k</mi><mo>=</mo><mi>sumem</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mi>b</mi></mrow><mrow><mi>l</mi><mo>=</mo><mo>-</mo><mi>b</mi></mrow></apply><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>n</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>o</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mrow><mi>c</mi><mo>-</mo><mi>b</mi></mrow><mi>a</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>b</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>m</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>,</mo><mn>52</mn><mo>,</mo><mo>-</mo><mn>88</mn><mo>,</mo><mo>-</mo><mn>140</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>restem</mi><mo>,</mo><mn>52</mn><mo>,</mo><mo>+</mo><mo>,</mo><mo>-</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>52</mn><mo>=</mo><mo>-</mo><mn>88</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>86</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>140</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>70</mn><mn>43</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> #k #l als dos membres: #a x #n #l #o #l = #c #o #l

Et queda: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mrow»«/mstyle»«/math»

]]> A partir de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mrow»«/mstyle»«/math»,

divideixes els dos membres per «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«/mrow»«/mstyle»«/math»

i SIMPLIFIQUES el resultat.

]]> 4.04.1.2.40 TEORIA TRANSPOSICIÓ NOMBRES  
Transposició de nombres

Amb l'equació simplificada, sumem o restem nombres als dos membres per tal que només quedin nombres a la dreta.

12x - 9 = 6x + 15

Cal eliminar el -9: sumem 9 als dos membres.

12x - 9 + 9 = 6x + 15 + 9

12x = 6x + 24
 



]]> 0.0000000 0.0000000 0 4.04.1.2.41Q tipus ax+b=cx+d trasllat nombres (a,b,c,d aleat) Transposa tots els nombres a la dreta:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: 15x = 3x - 24

]]>


]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>,</mo><mo>-</mo><mn>45</mn><mo>,</mo><mn>40</mn><mo>,</mo><mn>37</mn><mo>,</mo><mo>-</mo><mn>85</mn><mo>,</mo><mn>82</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>,</mo><mn>40</mn><mo>,</mo><mn>37</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>restar</mi><mo>,</mo><mo>-</mo><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>sumar</mi><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>45</mn><mo>=</mo><mn>40</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>37</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>40</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>82</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>82</mn><mn>85</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Fem desaparèixer els nombres de l'esquerra, sumant o restant als dos membres. Cal #p #b_1 als dos costats de l'igual.



]]> Ens queda:

#a*x   =   #c*x    #l #d_1#q #b_1

]]> 4.04.1.2.42Q tipus ax+b=cx+d trasllat nombres_2 Transposa tots els nombres a la dreta:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: 15x = 3x - 24

]]>


]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>,</mo><mo>-</mo><mn>45</mn><mo>,</mo><mn>40</mn><mo>,</mo><mn>37</mn><mo>,</mo><mo>-</mo><mn>85</mn><mo>,</mo><mn>82</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>,</mo><mn>40</mn><mo>,</mo><mn>37</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>restar</mi><mo>,</mo><mo>-</mo><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>sumar</mi><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>45</mn><mo>=</mo><mn>40</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>37</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>45</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>40</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>82</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>82</mn><mn>85</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Fem desaparèixer els nombres de l'esquerra, sumant o restant als dos membres. Cal #p #b_1 als dos costats de l'igual.



]]> Ens queda:

#a*x   =   #c*x    #l #d_1#q #b_1

]]> 4.04.1.2.50 TEORIA TRASLLAT D'INCÒGNITA  
Trasllat d'incògnita

Amb nombres només a la dreta, sumem o restem incògnites als dos membres per tal que només quedin incògnites a l'esquerra.

12x  = 6x + 24

Cal eliminar  6x: restem 6x als dos membres.

12x – 6x = 6x – 6x  + 24

6x = 24
 



]]> 0.0000000 0.0000000 0 4.04.1.2.51Q TrasllatIncògnites ax=cx+d Traslladeu les incògnites a l'esquerra, sumant o restant en  l'equació:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»



Format de la resposta: 9x= 13

]]> 1.0000000 0.5000000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mo>(</mo><mi>a</mi><mo>-</mo><mi>c</mi><mo>)</mo><mo>*</mo><mi>x</mi><mo>=</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn><mo>,</mo><mo>-</mo><mn>45</mn><mo>,</mo><mo>-</mo><mn>24</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>61</mn><mo>,</mo><mn>46</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>,</mo><mn>24</mn><mo>,</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sumar</mi><mo>,</mo><mo>+</mo><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>sumar</mi><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>24</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>61</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>1</mn><mn>61</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Fem desaparèixer les x de la dreta, sumant o restant als dos costats de l'igual: 

Cal #g #c_1·x als dos costats de l'igual: 

 «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»



]]> 4.04.1.2.52Q TrasllatIncògnites ax=cx+d_2 Traslladeu les incògnites a l'esquerra, sumant o restant en  l'equació:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»



Format de la resposta: 9x= 13

]]> 1.0000000 0.5000000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mo>(</mo><mi>a</mi><mo>-</mo><mi>c</mi><mo>)</mo><mo>*</mo><mi>x</mi><mo>=</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn><mo>,</mo><mo>-</mo><mn>45</mn><mo>,</mo><mo>-</mo><mn>24</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>61</mn><mo>,</mo><mn>46</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>,</mo><mn>24</mn><mo>,</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sumar</mi><mo>,</mo><mo>+</mo><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>sumar</mi><mo>,</mo><mo>+</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>24</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>61</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>1</mn><mn>61</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Fem desaparèixer les x de la dreta, sumant o restant als dos costats de l'igual: 

Cal #g #c_1·x als dos costats de l'igual: 

 «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»



]]> 4.04.1.2.60 TEORIA RESOLUCIÓ ax+b=cx+d  
Resoldre ax + b = cx + d

Es traslladen les x a l'esquerra i els nombres a la dreta

12x  + 4 = 6x + 24

Cal eliminar  6x i 4: els restem  als dos membres.

12x – 6x + 4 - 4  = 6x – 6x  + 24 - 4

6x = 20 i es divideixen els dos membres per 6
 



]]> 0.0000000 0.0000000 0 4.04.1.2.60_1 TEORIA ax+b = cx+d

]]> 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 0.0000000 0.0000000 0 4.04.1.2.61Q Resol ax+b=cx+d (a,b,c,d aleat) Resol:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-2 o x=-3/2 (enter o fracció simplificada)

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]]> 1.0000000 0.3333333 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mrow><mi>d</mi><mo>-</mo><mi>b</mi></mrow><mrow><mi>a</mi><mo>-</mo><mi>c</mi></mrow></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>38</mn><mo>,</mo><mn>8</mn><mo>,</mo><mo>-</mo><mn>6</mn><mo>,</mo><mn>42</mn><mo>,</mo><mo>-</mo><mn>32</mn><mo>,</mo><mn>34</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>42</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sumar</mi><mo>,</mo><mo>+</mo><mo>,</mo><mo>+</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>restar</mi><mo>,</mo><mo>-</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>38</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>8</mn><mo>=</mo><mo>-</mo><mn>6</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>42</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>17</mn><mn>16</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>17</mn><mn>16</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer fem desaparèixer les x de la dreta i els nombres de l'esquerra, sumant o restant als dos costats de l'igual. 

Per les x, cal #g #c_1*x als dos costats de l'igual, 

i pels nombres, cal #p #b_1 als dos costats de l'igual:


#a*x #h #c_1*x    #k #b_1 #q #b_1  =   #c*x #h #c_1*x    #l #d_1#q #b_1

ara cal agrupar.

]]> Tenim que:

#a*x #h #c_1*x    #k #b_1 #q #b_1  =   #c*x #h #c_1*x    #l #d_1#q #b_1

agrupant ens queda: #m*x = #n


Ja es pot resoldre dividint els dos membres per #m

]]> 4.04.1.2.62Q Resol ax+b=cx+d (a,b,c,d aleat)_2 Resol:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»eq_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»01«/mn»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-2 o x=-3/2 (enter o fracció simplificada)

]]>


]]> 1.0000000 0.3333333 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>g</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>g</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>c</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>h</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>k</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>d</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow><mrow><mi>l</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>p</mi><mo>=</mo><mi>restar</mi></mrow><mrow><mi>p</mi><mo>=</mo><mi>sumar</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>&gt;</mo><mn>0</mn></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>-</mo><mo>&quot;</mo></mrow><mrow><mi>q</mi><mo>=</mo><mo>&quot;</mo><mo>+</mo><mo>&quot;</mo></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>d</mi><mo>-</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>c</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_1</mi><mo>=</mo><mfenced close="|" open="|"><mi>d</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><mfrac><mrow><mi>d</mi><mo>-</mo><mi>b</mi></mrow><mrow><mi>a</mi><mo>-</mo><mi>c</mi></mrow></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>,</mo><mn>15</mn><mo>,</mo><mn>22</mn><mo>,</mo><mn>47</mn><mo>,</mo><mn>23</mn><mo>,</mo><mn>32</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>b_1</mi><mo>,</mo><mi>c_1</mi><mo>,</mo><mi>d_1</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>15</mn><mo>,</mo><mn>22</mn><mo>,</mo><mn>47</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>,</mo><mi>k</mi><mo>,</mo><mi>l</mi><mo>,</mo><mi>p</mi><mo>,</mo><mi>q</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>restar</mi><mo>,</mo><mo>-</mo><mo>,</mo><mo>+</mo><mo>,</mo><mo>+</mo><mo>,</mo><mi>restar</mi><mo>,</mo><mo>-</mo></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>eq_01</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>45</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>15</mn><mo>=</mo><mn>22</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>47</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>32</mn><mn>23</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>32</mn><mn>23</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer fem desaparèixer les x de la dreta i els nombres de l'esquerra, sumant o restant als dos costats de l'igual. 

Per les x, cal #g #c_1*x als dos costats de l'igual, 

i pels nombres, cal #p #b_1 als dos costats de l'igual:


#a*x #h #c_1*x    #k #b_1 #q #b_1  =   #c*x #h #c_1*x    #l #d_1#q #b_1

ara cal agrupar.

]]> Tenim que:

#a*x #h #c_1*x    #k #b_1 #q #b_1  =   #c*x #h #c_1*x    #l #d_1#q #b_1

agrupant ens queda: #m*x = #n


Ja es pot resoldre dividint els dos membres per #m

]]> 4.04.1.2.70 TEORIA INCOMPATIBLE INDETERMINADA  
Compatible/Determinada

Si una equació té solució és compatible:

  • si la solució és única, l'equació és compatible determinada
  • si hi ha més d'una solució, l'equació és compatible indeterminada (tipus: 0x ≠0)

Si una equació no té solució és incompatible (tipus 0x = 0)

Una identitat és indeterminada: 13x + 12 = 13x +14- 2 

 

 



]]> 0.0000000 0.0000000 0 4.04.1.2.71Q Incompatible o indeterminada Resol i determina si l'equació següent és:

  • compatible determinada (resposta 1)
  • compatible indeterminada (resposta 2)
  • incompatible (resposta 3)

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mstyle»«/math»

Format: 1,2 o 3

 

]]> 1.0000000 0.5000000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>k</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>3</mn></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>k</mi><mo>=</mo><mn>1</mn></mrow><mtable><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>≠</mo><mn>0</mn></mrow></mfenced></mrow></apply></mtd></mtr><mtr><mtd><mi>sol</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>s1</mi><mo>=</mo><mfrac><mrow><mi>d</mi><mo>-</mo><mi>b</mi></mrow><mrow><mi>a</mi><mo>-</mo><mi>c</mi></mrow></mfrac></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>k</mi><mo>=</mo><mn>2</mn></mrow><mtable><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>=</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>=</mo><mn>0</mn></mrow></mfenced></mrow></apply></mtd></mtr><mtr><mtd><mi>sol</mi><mo>=</mo><mn>2</mn></mtd></mtr></mtable><mtable><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>=</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>≠</mo><mn>0</mn></mrow></mfenced></mrow></apply></mtd></mtr><mtr><mtd><mi>sol</mi><mo>=</mo><mn>3</mn></mtd></mtr></mtable></apply></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>46</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>17</mn><mo>=</mo><mo>-</mo><mn>46</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>7</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><ms>incompatible</ms></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Transposa per resoldre.

  • Si et dona 0x ≠ 0, l'equació és compatible indeterminada (té infinites solucions; és una identitat);
  • Si et dona 0x = 0, l'equació és incompatible (no té solució)
  • Si et dona una altra cosa, l'equació és compatible determinada i té una única solució: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»
]]> 4.04.1.2.72Q Incompatible o indeterminada_2 Resol i determina si l'equació següent és:

  • compatible determinada (resposta 1)
  • compatible indeterminada (resposta 2)
  • incompatible (resposta 3)

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mstyle»«/math»

Format: 1,2 o 3

 

]]> 1.0000000 0.5000000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>k</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>3</mn></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>k</mi><mo>=</mo><mn>1</mn></mrow><mtable><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>≠</mo><mn>0</mn></mrow></mfenced></mrow></apply></mtd></mtr><mtr><mtd><mi>sol</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>s1</mi><mo>=</mo><mfrac><mrow><mi>d</mi><mo>-</mo><mi>b</mi></mrow><mrow><mi>a</mi><mo>-</mo><mi>c</mi></mrow></mfrac></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>k</mi><mo>=</mo><mn>2</mn></mrow><mtable><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>=</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>=</mo><mn>0</mn></mrow></mfenced></mrow></apply></mtd></mtr><mtr><mtd><mi>sol</mi><mo>=</mo><mn>2</mn></mtd></mtr></mtable><mtable><mtr><mtd><apply><csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>46</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>17</mn><mo>=</mo><mo>-</mo><mn>46</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>7</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><ms>incompatible</ms></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Transposa per resoldre.

  • Si et dona 0x ≠ 0, l'equació és compatible indeterminada (té infinites solucions; és una identitat);
  • Si et dona 0x = 0, l'equació és incompatible (no té solució)
  • Si et dona una altra cosa, l'equació és compatible determinada i té una única solució: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»
]]> 4.04.1.2.81 Relaciona equació i tipus Aparioneu correctament:

]]> 1.0000000 0.3333333 0 true La teva resposta és correcta.

]]> La teva resposta és parcialment correcta.

]]> La teva resposta és incorrecta.

]]> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mrow»«/mstyle»«/math»

]]> Compatible determinada «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mrow»«/mstyle»«/math»

]]> Compatible indeterminat «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»3«/mn»«/mrow»«/mstyle»«/math»

]]> Incompatible <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>c1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>d1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr></mtable><mrow><mfenced><mrow><mi>a</mi><mo>-</mo><mi>c</mi><mo>≠</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>d</mi><mo>-</mo><mi>b</mi><mo>≠</mo><mn>0</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math 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xmlns="http://www.w3.org/1998/Math/MathML"><mn>21</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>49</mn><mo>=</mo><mn>21</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>49</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>31</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>47</mn><mo>=</mo><mn>31</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>39</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question> 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.3 Agrupar termes semblants 4.04.1.3.10 TEORIA AGRUPAR (SIMPLIFICAR)  
Agrupar (simplificar)

Abans de traslladar termes, cal reduir cada membre a polinomi, agrupant els termes de mateix grau.

3x + 6 + 9x - 15 = 8x - 5 - 2x - 20
3x+ 9x + 6 - 15 = 8x - 2x - 5 - 20
12x - 9 = 6x - 25

 



]]> 0.0000000 0.0000000 0 4.04.1.3.10_1TEORIA AGRUPAR (SIMPLIFICAR) GIF

]]> 0.0000000 0.0000000 0 4.04.1.3.11Q Agrupa ax+b+cx+d=ex+f+gx+h_1 Agrupa les x i els termes independents en l'equació

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Format de la resposta: 3x+6 = 11x-9 NO S'HA DE RESOLDRE!

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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;38&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;46&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;41&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;31&lt;/mn&gt;&lt;mn&gt;45&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> Es tracta de sumar els monomis de grau 0 i els de grau 1 per separat, a cada banda del signe =.
A l'esquerra 
el coeficient de la x serà #a + #c
i el terme independent -#b + #d
A la dreta
el coeficient de la x serà #e + #g
i el terme independent #f - #h

]]> 4.04.1.3.12Q Agrupa ax+b+cx+d=ex+f+gx+h_2 Agrupa les x i els termes independents en l'equació

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: 3x+6 = 11x-9 NO S'HA DE RESOLDRE!

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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;apply&gt;&lt;csymbol definitionURL=&quot;http://www.wiris.com/XML/csymbol&quot;&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;equació&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;31&lt;/mn&gt;&lt;mn&gt;45&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> Es tracta de sumar els monomis de grau 0 i els de grau 1 per separat, a cada banda del signe =.
A l'esquerra 
el coeficient de la x serà #a + #c
i el terme independent -#b + #d
A la dreta
el coeficient de la x serà #e + #g
i el terme independent #f - #h

]]> 4.04.1.3.21Q Resol ax+b+cx+d=ex+f+gx+h Agrupa les x i els termes independents en l'equació

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-2 o x=-3/2 (enter o fracció simplificada)
AQUESTA S'HA DE RESOLDRE!

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mi>a</mi><mo>-</mo><mi>c</mi><mo>-</mo><mi>e</mi><mo>+</mo><mi>g</mi></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mi>b</mi><mo>+</mo><mi>d</mi><mo>-</mo><mi>f</mi><mo>-</mo><mi>h</mi></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>a1</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math 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xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>53</mn><mn>87</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a1</mi><mo>,</mo><mi>b1</mi><mo>,</mo><mi>x1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>87</mn><mo>,</mo><mo>-</mo><mn>53</mn><mo>,</mo><mfrac><mn>53</mn><mn>87</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>64</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>19</mn><mo>=</mo><mn>23</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>72</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Es tracta de sumar els monomis de grau 0 i els de grau 1 per separat, a cada banda del signe =.
A l'esquerra
el coeficient de la x serà #a - #c
i el terme independent -#b - #d
A la dreta
el coeficient de la x serà #e - #g
i el terme independent - #f - #h.
Un cop agrupat cal sumar i restar, i després dividir per resoldre.

]]> 4.04.1.3.22Q Resol ax+b+cx+d=ex+f+gx+h_2 Agrupa les x i els termes independents en l'equació

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«/mrow»«/mstyle»«/math»

Format de la resposta: x=-2 o x=-3/2 (enter o fracció simplificada)
AQUESTA S'HA DE RESOLDRE!

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>x</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x1</mi><mo>=</mo><mfrac><mi>b1</mi><mi>a1</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>27</mn><mo>,</mo><mn>44</mn><mo>,</mo><mn>29</mn><mo>,</mo><mn>19</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>43</mn><mo>,</mo><mn>35</mn></math></output></command><command><input><math 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xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>9</mn><mn>8</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mfrac><mn>9</mn><mn>8</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>56</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>63</mn><mo>=</mo><mo>-</mo><mn>40</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>45</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Es tracta de sumar els monomis de grau 0 i els de grau 1 per separat, a cada banda del signe =.
A l'esquerra
el coeficient de la x serà #a - #c
i el terme independent -#b - #d
A la dreta
el coeficient de la x serà #e - #g
i el terme independent - #f - #h.
Un cop agrupat cal sumar i restar, i després dividir per resoldre.

]]> 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.4 Treure parèntesis 4.04.1.4.10 TEORIA TREURE PARÈNTESIS  
Treure parèntesis

5(2x-3) - 4(2x-7) = –8(3x-5) + 6(9x-1)

Primer es fan les multiplicacions SENSE TOCAR ELS SIGNES: 

(10x -15) – (8x-28) = – (24x - 40) + (54x - 6)

Es treuen parèntesis, vigilant el signe que els precedeix

(si és negatiu, canvien tots els signes)

10x - 15 – 8x + 28 = – 24x + 40 + 54x - 6
 



]]> 0.0000000 0.0000000 0 4.04.1.4.10_1 TEORIA PARÈNTESIS

]]> 0.0000000 0.0000000 0 4.04.1.4.11Q TreuParèntesis PrimerPas Exemple:
2(3x-5) - 5(2x+4) = -3(4x+2)

(6x-10) - (10x+20) = -(12x+6)

Multiplica cada parèntesi pel nombre que té al davant, sense fer servir el signe que té, seguint l'exemple:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»m«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»(«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»a«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»x«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»-«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»b«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»)«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»-«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»n«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»(«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»c«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»x«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»+«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»d«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»)«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»=«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»o«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»(«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»e«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»x«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»+«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»#«/mo»«mi mathcolor=¨#00007F¨ mathvariant=¨bold¨»f«/mi»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»)«/mo»«mo mathcolor=¨#00007F¨ mathvariant=¨bold¨»§#160;«/mo»«/mstyle»«/math»


Format de la resposta: (6x+8)-(4x+12)=(12x-6) 
NO S'HA DE RESOLDRE!

]]> El resultat correcte és
(#a_m*x - #b_m) - (#c_n*x + #d_n) = (#e_o*x + #f_o) 

]]> 1.0000000 0.5000000 0 0 #r <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>)</mo><mo>&nbsp;</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>21</mn><mo>,</mo><mn>43</mn><mo>,</mo><mn>29</mn><mo>,</mo><mn>3</mn><mo>,</mo><mo>-</mo><mn>13</mn><mo>,</mo><mn>15</mn><mo>,</mo><mn>21</mn><mo>,</mo><mn>14</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>,</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>84</mn><mo>,</mo><mn>172</mn><mo>,</mo><mn>58</mn><mo>,</mo><mn>6</mn><mo>,</mo><mo>-</mo><mn>65</mn><mo>,</mo><mn>75</mn><mo>,</mo><mn>42</mn><mo>,</mo><mn>28</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>26</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>178</mn><mo>=</mo><mo>-</mo><mn>65</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>75</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>253</mn><mn>91</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#r</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer, multipliquem el parèntesi pel nombre que té al davant sense tenir en compte el seu signe:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mspace linebreak=¨newline¨/»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d_n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mspace linebreak=¨newline¨/»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«/mstyle»«/math»

Ho col·loquem mantenint els signes inicials entre els parèntesis





]]> 4.04.1.4.12Q TreuParèntesis PrimerPas_2 Exemple:
2(3x-5) - 5(2x+4) = -3(4x+2)+6(x+1)
(6x-10) - (10x+20) = -(12x+6)+(6x+6)

Multiplica cada parèntesi pel nombre que té al davant, sense fer servir el signe que té, seguint l'exemple:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mrow»«/mstyle»«/math»


Format de la resposta: (6x+8)-(4x+12)=(12x-6)-(4x+2)
NO S'HA DE RESOLDRE!

]]> El resultat correcte és
(#a_m*x - #b_m) - (#c_n*x + #d_n) = (#e_o*x + #f_o) - (#g_p*x - #h_p)


]]> 1.0000000 0.5000000 0 0 #r <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo> </mo><mo>-</mo><mo> </mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo> </mo><mo>-</mo><mo> </mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo> </mo><mo>-</mo><mo> </mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo> </mo><mi>equació</mi><mo>(</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo> </mo><mo>-</mo><mo> </mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo> </mo><mo>-</mo><mo> </mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo> </mo><mo>-</mo><mo> </mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>49</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>26</mn><mo>,</mo><mn>15</mn><mo>,</mo><mn>24</mn><mo>,</mo><mn>16</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>10</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>5</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>294</mn><mo>,</mo><mn>36</mn><mo>,</mo><mn>52</mn><mo>,</mo><mn>30</mn><mo>,</mo><mn>120</mn><mo>,</mo><mn>80</mn><mo>,</mo><mn>40</mn><mo>,</mo><mn>40</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>242</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>66</mn><mo>=</mo><mn>80</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>120</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>31</mn><mn>27</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer, multipliquem el parèntesi pel nombre que té al davant sense tenir en compte el seu signe:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mspace linebreak=¨newline¨/»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»d_n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mspace linebreak=¨newline¨/»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mspace linebreak=¨newline¨/»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»g_p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h_p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math»

Ho col·loquem mantenint entre els parèntesis els signes de l'equació inicial




]]> 4.04.1.4.21Q TreuParèntesisAgrupa Treu els parèntesis de l'equació següent i agrupa
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mrow»«/mstyle»«/math»

Format de la resposta: 3x + 6 = 11x - 9
NO S'HA DE RESOLDRE! Cal treure parèntesis i AGRUPAR

]]> 1.0000000 0.5000000 0 0 #r_11]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>32</mn><mo>,</mo><mn>5</mn><mo>,</mo><mn>32</mn><mo>,</mo><mn>40</mn><mo>,</mo><mo>-</mo><mn>14</mn><mo>,</mo><mn>41</mn><mo>,</mo><mn>18</mn><mo>,</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>192</mn><mo>,</mo><mn>30</mn><mo>,</mo><mn>96</mn><mo>,</mo><mn>120</mn><mo>,</mo><mo>-</mo><mn>84</mn><mo>,</mo><mn>246</mn><mo>,</mo><mn>36</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>96</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>150</mn><mo>=</mo><mo>-</mo><mn>120</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>250</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>50</mn><mn>27</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>11</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer, multipliquem el parèntesi pel nombre que té al davant sense tenir en compte el seu signe: 
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»a«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»b«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»e«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»f«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»g«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»h«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»_«/mi»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math»
Segon, es treuen els parèntesis. Si un parèntesi té un signe - al davant, cal canviar tots els signes dels monomis que estan dins el parèntesi, sinó no!
El resultat de treure parèntesis és:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b_m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f_o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»g_p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»h_p«/mi»«/mrow»«/mstyle»«/math»

Només falta agrupar!

]]> 4.04.1.4.22Q TreuParèntesisAgrupa Treu els parèntesis de l'equació següent i agrupa

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mrow»«/mstyle»«/math»

Format de la resposta: 3x + 6 = 11x - 9
NO S'HA DE RESOLDRE! Cal treure parèntesis i AGRUPAR

]]> 1.0000000 0.5000000 0 0 #r_11 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a_m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b_m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c_n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;d_n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;e_o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;f_o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;g_p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;h_p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;equació&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;32&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;32&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;41&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;18&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c_n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d_n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e_o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f_o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g_p&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;h_p&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;192&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;96&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;120&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;84&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;246&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;36&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;96&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;150&lt;/mn&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;120&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mn&gt;27&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> Primer, multiplica el parèntesi pel nombre que té al davant sense tenir en compte el seu signe: 
(#a_m*x - #b_m) - (#c_n*x + #d_n) = (#e_o*x + #f_o) - (#g_p*x - #h_p)

Segon, treu els parèntesis. Si un parèntesi té un signe - al davant, cal canviar tots els signes dels monomis que estan dins el parèntesi, sinó no!
El resultat de treure parèntesis és:
#a_m*x - #b_m - #c_n*x - #d_n = #e_o*x + #f_o - #g_p*x + #h_p

Només falta agrupar!

]]> 4.04.1.4.23Q TreuParèntesisAgrupa_2 Treu els parèntesis de l'equació següent i agrupa

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mrow»«/mstyle»«/math»

Format de la resposta: 3x + 6 = 11x - 9
NO S'HA DE RESOLDRE! Cal treure parèntesis i AGRUPAR

]]> 1.0000000 0.5000000 0 0 #r_11 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;a_m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;b_m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;c_n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;d_n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;e_o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;f_o&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;g_p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;h_p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;equació&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;32&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;32&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;41&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;18&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_m&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c_n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d_n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e_o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;f_o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g_p&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;h_p&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;192&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;96&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;120&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;84&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;246&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;36&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mn&gt;96&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;150&lt;/mn&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;120&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mn&gt;27&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession><correctAnswers><correctAnswer type="mathml">#r_11</correctAnswer></correctAnswers><localData><data name="inputField">textField</data></localData></question> Primer, multiplica el parèntesi pel nombre que té al davant sense tenir en compte el seu signe: 
(#a_m*x - #b_m) - (#c_n*x + #d_n) = (#e_o*x + #f_o) - (#g_p*x - #h_p)

Segon, treu els parèntesis. Si un parèntesi té un signe - al davant, cal canviar tots els signes dels monomis que estan dins el parèntesi, sinó no!
El resultat de treure parèntesis és:
#a_m*x - #b_m - #c_n*x - #d_n = #e_o*x + #f_o - #g_p*x + #h_p

Només falta agrupar!

]]> 4.04.1.4.31Q Resol EG1 parèntesis Resol l'equació: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mstyle»«/math»

Format de la resposta: x=-3/4 SIMPLIFICADA

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo><mo>*</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo><mo>*</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>A1</mi><mo>=</mo><mi>m</mi><mo>*</mo><mi>a</mi><mo>+</mo><mi>n</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>o</mi><mo>*</mo><mi>e</mi><mo>-</mo><mi>p</mi><mo>*</mo><mi>g</mi></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>A1</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_11</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math 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open="|"><mi>b_m</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o1</mi><mo>=</mo><mfenced close="|" open="|"><mi>f_o</mi></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>11</mn><mo>,</mo><mn>17</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>13</mn><mo>,</mo><mn>46</mn><mo>,</mo><mn>39</mn><mo>,</mo><mn>18</mn><mo>,</mo><mn>21</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>4</mn><mo>,</mo><mn>4</mn><mo>,</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>44</mn><mo>,</mo><mo>-</mo><mn>68</mn><mo>,</mo><mn>16</mn><mo>,</mo><mn>52</mn><mo>,</mo><mo>-</mo><mn>230</mn><mo>,</mo><mo>-</mo><mn>195</mn><mo>,</mo><mn>72</mn><mo>,</mo><mn>84</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>28</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>120</mn><mo>=</mo><mo>-</mo><mn>158</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>279</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>28</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>120</mn><mo>=</mo><mo>-</mo><mn>158</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>279</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>130</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>399</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>399</mn><mn>130</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>399</mn><mn>130</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer, multipliquem el parèntesi pel nombre que té al davant sense tenir en compte el seu signe.
Segon, es treuen els parèntesis. Si un parèntesi té un signe - al davant, cal canviar tots els signes dels monomis que estan dins el parèntesi, sinó no!
El resultat de treure parèntesis és:
#a_m*x + #b_m1 + #c_n*x + #d_n = #e_o*x – #f_o1 + #g_p*x – #h_p

Només falta agrupar!

]]> Tenim: 

#a_m*x + #b_m1 + #c_n*x + #d_n = #e_o*x – #f_o1 + #g_p*x – #h_p

Si agrupem termes semblants, el resultat és: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»11«/mn»«/mrow»«/mstyle»«/math»

Es transposen les x i els nombres per resoldre:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»12«/mn»«/mstyle»«/math»

]]> 4.04.1.4.32Q Resol EG1 parèntesis_2 Resol l'equació: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»d«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»o«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»g«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»h«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«/mstyle»«/math»

Format de la resposta: x=-3/4 SIMPLIFICADA

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>49</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo><mo>*</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo><mo>*</mo><mo>(</mo><mo>-</mo><mn>1</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>A1</mi><mo>=</mo><mi>m</mi><mo>*</mo><mi>a</mi><mo>+</mo><mi>n</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>o</mi><mo>*</mo><mi>e</mi><mo>-</mo><mi>p</mi><mo>*</mo><mi>g</mi></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>A1</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_11</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi><mo>=</mo><mo>(</mo><mi>m</mi><mo>*</mo><mi>a</mi><mo>+</mo><mi>n</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>o</mi><mo>*</mo><mi>e</mi><mo>-</mo><mi>p</mi><mo>*</mo><mi>g</mi><mo>)</mo><mo>*</mo><mi>x</mi><mo>=</mo><mi>m</mi><mo>*</mo><mi>b</mi><mo>-</mo><mi>n</mi><mo>*</mo><mi>d</mi><mo>+</mo><mi>o</mi><mo>*</mo><mi>f</mi><mo>-</mo><mi>p</mi><mo>*</mo><mi>h</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B1</mi><mo>=</mo><mi>m</mi><mo>*</mo><mi>b</mi><mo>-</mo><mi>n</mi><mo>*</mo><mi>d</mi><mo>+</mo><mi>o</mi><mo>*</mo><mi>f</mi><mo>-</mo><mi>p</mi><mo>*</mo><mi>h</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>n</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mi>o</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>+</mo><mo>&nbsp;</mo><mi>p</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>x</mi><mo>=</mo><msub><mi>S</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mfrac><mi>B1</mi><mi>A1</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m1</mi><mo>=</mo><mfenced close="|" open="|"><mi>b_m</mi></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o1</mi><mo>=</mo><mfenced close="|" open="|"><mi>f_o</mi></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>41</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>7</mn><mo>,</mo><mn>39</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>43</mn><mo>,</mo><mn>39</mn><mo>,</mo><mn>43</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>3</mn><mo>,</mo><mn>3</mn><mo>,</mo><mo>-</mo><mn>4</mn><mo>,</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>123</mn><mo>,</mo><mo>-</mo><mn>12</mn><mo>,</mo><mn>21</mn><mo>,</mo><mn>117</mn><mo>,</mo><mo>-</mo><mn>12</mn><mo>,</mo><mo>-</mo><mn>172</mn><mo>,</mo><mn>78</mn><mo>,</mo><mn>86</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>144</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>129</mn><mo>=</mo><mn>66</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>258</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>144</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>129</mn><mo>=</mo><mn>66</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>258</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>78</mn><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>387</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>129</mn><mn>26</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A1</mi><mo>,</mo><mi>B1</mi><mo>,</mo><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>78</mn><mo>,</mo><mo>-</mo><mn>387</mn><mo>,</mo><mo>-</mo><mfrac><mn>129</mn><mn>26</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>129</mn><mn>26</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Primer, multipliquem el parèntesi pel nombre que té al davant sense tenir en compte el seu signe.
Segon, es treuen els parèntesis. Si un parèntesi té un signe - al davant, cal canviar tots els signes dels monomis que estan dins el parèntesi, sinó no!
El resultat de treure parèntesis és:
#a_m*x + #b_m1 + #c_n*x + #d_n = #e_o*x – #f_o1 + #g_p*x – #h_p

Només falta agrupar!

]]> Tenim: 

#a_m*x + #b_m1 + #c_n*x + #d_n = #e_o*x – #f_o1 + #g_p*x – #h_p

Si agrupem termes semblants, el resultat és: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»11«/mn»«/mrow»«/mstyle»«/math»

Es transposen les x i els nombres per resoldre:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»12«/mn»«/mstyle»«/math»

]]> 4.04.1.4.41C Resol E1G_Parèntesis (Triar resposta) La solució de -5(x+3) - 3(2x+5) = -2(3x+2) + 4(x-5) és:

]]> 1.0000000 1.0000000 0 true true abc -2/3 -54/9 -9/46 -11/9 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession></question> 4.04.1.4.42C Resol E1G_Parèntesis (Triar resposta) La solució de -5(x+3) - 3(2x+5) = -2(3x+2) + 4(x-5) és:

]]> 1.0000000 1.0000000 0 true true abc -2/3 -54/9 -9/46 -11/9 <question><wirisCasSession>&lt;session lang=&quot;ca&quot; version=&quot;2.0&quot;&gt;&lt;library closed=&quot;false&quot;&gt;&lt;mtext style=&quot;color:#ffc800&quot; xml:lang=&quot;es&quot;&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;r_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close=&quot;}&quot; open=&quot;{&quot;&gt;&lt;mtable align=&quot;center&quot;&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;</wirisCasSession></question> 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.5 Treure denominadors 4.04.1.5.10 TEORIA TREURE DENOMINADORS  
Treure denominadors

Per treure els denominadors, es calcula el seu mcm

i s'escriuen fraccions equivalents: 

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«mn mathcolor=¨#7F007F¨ mathvariant=¨bold¨»4«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»5«/mn»«/mrow»«mn mathcolor=¨#7F007F¨ mathvariant=¨bold¨»6«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»4«/mn»«/mrow»«mn mathcolor=¨#7F007F¨ mathvariant=¨bold¨»10«/mn»«/mfrac»«/math»

mcm(4,6,10) = 60. I com que 60:4=15, 60:6=10, i  60:10=6:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»15«/mn»«mfenced»«mrow»«mn mathvariant=¨bold¨»2«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«/mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»60«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»10«/mn»«mfenced»«mrow»«mn mathvariant=¨bold¨»3«/mn»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mn mathvariant=¨bold¨»5«/mn»«/mrow»«/mfenced»«/mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»60«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathcolor=¨#FF0000¨ mathvariant=¨bold¨»6«/mn»«mfenced»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»)«/mo»«/mrow»«/mfenced»«/mrow»«mn mathcolor=¨#007F00¨ mathvariant=¨bold¨»60«/mn»«/mfrac»«/math»

15(2x+1)+10(3x-5)=6(x+4)
 



]]> 0.0000000 0.0000000 0 4.04.1.5.10_1 TEORIA DENOMINADORS(GIF)  

]]> 0.0000000 0.0000000 0 4.04.1.5.11Q Treu2DenominadorsFinsParèntesis Treu els denominadors (fins a parèntesis) de l'equació següent

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#000066¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mfrac mathcolor=¨#000066¨»«mrow»«mi mathvariant=¨bold¨»#e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mi mathvariant=¨bold¨»#f«/mi»«/mrow»«mi mathvariant=¨bold¨»#o«/mi»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta 1: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfrac»«mrow»«mn»5«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»2«/mn»«mi»x«/mi»«mo»+«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»20«/mn»«/mfrac»«mo»§#160;«/mo»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mo»§#160;«/mo»«mfrac»«mrow»«mn»4«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»3«/mn»«mi»x«/mi»«mo»-«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»20«/mn»«/mfrac»«/mstyle»«/math»

Format de la resposta 2: 5·(2x+1)=10·(3x-1)


NO S'HA DE RESOLDRE! Només cal treure denominadors

Atenció: el denominador comú és el mcm!
]]> Respostes correctes

a)  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
b) «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»
]]> 1.0000000 0.5000000 0 0 resposta 1 =#solresposta 2 =#sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>a</mi><mo>≠</mo><mi>e</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>99</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>99</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>w</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mn>6</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>14</mn><mo>,</mo><mn>15</mn><mo>,</mo><mn>18</mn></mtd></mtr></mtable></mfenced></mfenced></mtd></mtr></mtable><mrow><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>o</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>mcd</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>o</mi><mo>)</mo><mo>=</mo><mi>w</mi></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>7</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>75</mn><mo>,</mo><mn>45</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>525</mn><mo>,</mo><mn>300</mn><mo>,</mo><mn>270</mn><mo>,</mo><mn>180</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>225</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_3</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>,</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>21</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>12</mn><mo>=</mo><mn>30</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>20</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>32</mn><mn>51</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>1</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>2</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> El mínim comú múltiple dels denominadors és #m_c.

Si fem les divisions, els coeficients de cada parèntesis són:

  • #m_c / #m = #m_1 
  • #m_c / #o = #m_3
 El primer pas és:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
Només cal treure denominadors.
 
]]> 4.04.1.5.21Q Treu 4 Denominadors fins parèntesis Treu els denominadors (fins a parèntesis) de l'equació següent

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta 1: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mn»5«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»2«/mn»«mi»x«/mi»«mo»+«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»-«/mo»«mfrac»«mrow»«mn»2«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mi»x«/mi»«mo»+«/mo»«mn»3«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mn»10«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»3«/mn»«mi»x«/mi»«mo»-«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»-«/mo»«mfrac»«mrow»«mn»2«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»3«/mn»«mi»x«/mi»«mo»+«/mo»«mn»4«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«/mrow»«/mstyle»«/math»

Format de la resposta 2: 5·(2x+1)-2·(x+3)=10·(3x-1)-2·(3x+4)


NO S'HA DE RESOLDRE! Només cal treure denominadors

 
]]> Respostes correctes

 a)
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mstyle»«/math»
b)
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»
]]> 1.0000000 0.5000000 0 0 resposta 1 =#solresposta 2 =#sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>n</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>o</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>p</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>o</mi><mo>≠</mo><mi>n</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>mcd</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>5</mn><mo>,</mo><mo>-</mo><mn>6</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>56</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>30</mn><mo>,</mo><mo>-</mo><mn>24</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>12</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>24</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>11</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>38</mn><mo>=</mo><mo>-</mo><mn>48</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>68</mn><mn>37</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>1</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>2</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> El mínim comú múltiple dels denominadors és #m_c.

Si fem les divisions, els coeficients de cada parèntesis són:

  • #m_c / #m = #m_1 
  • #m_c / #n = #m_2
  • #m_c / #o = #m_3
  • #m_c / #p = #m_4
 El primer pas és:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
 
 
]]>  El primer pas és:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
i en resulta:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»
]]> 4.04.1.5.22Q Treu 4 Denominadors fins parèntesis_2 Treu els denominadors (fins a parèntesis) de l'equació següent

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta 1: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mn»5«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»2«/mn»«mi»x«/mi»«mo»+«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»-«/mo»«mfrac»«mrow»«mn»2«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mi»x«/mi»«mo»+«/mo»«mn»3«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mn»10«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»3«/mn»«mi»x«/mi»«mo»-«/mo»«mn»1«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«mo»-«/mo»«mfrac»«mrow»«mn»2«/mn»«mo»§#183;«/mo»«mo»(«/mo»«mn»3«/mn»«mi»x«/mi»«mo»+«/mo»«mn»4«/mn»«mo»)«/mo»«/mrow»«mn»50«/mn»«/mfrac»«/mrow»«/mstyle»«/math»

Format de la resposta 2: 5·(2x+1)-2·(x+3)=10·(3x-1)-2·(3x+4)


NO S'HA DE RESOLDRE! Només cal treure denominadors

 
]]> Respostes correctes

 a)
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mstyle»«/math»
b)
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»
]]> 1.0000000 0.5000000 0 0 resposta 1 =#solresposta 2 =#sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>n</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>o</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>m</mi><mo>≠</mo><mi>p</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>o</mi><mo>≠</mo><mi>n</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>mcd</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>5</mn><mo>,</mo><mo>-</mo><mn>6</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>56</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>30</mn><mo>,</mo><mo>-</mo><mn>24</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>12</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>24</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>11</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>38</mn><mo>=</mo><mo>-</mo><mn>48</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>68</mn><mn>37</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>1</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/><mi>r</mi><mi mathvariant="normal">e</mi><mi>s</mi><mi>p</mi><mi>o</mi><mi>s</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mn>2</mn><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> El mínim comú múltiple dels denominadors és #m_c.

Si fem les divisions, els coeficients de cada parèntesis són:

  • #m_c / #m = #m_1 
  • #m_c / #n = #m_2
  • #m_c / #o = #m_3
  • #m_c / #p = #m_4
 El primer pas és:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
 
 
]]>  El primer pas és:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»3«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»-«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m_c«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»
i en resulta:
«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»
]]> 4.04.1.5.31Q Treu4DenominadorsAgrupa Treu els denominadors de l'equació següent, treu parèntesis i agrupa

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta: 3x+6=11x-9
NO S'HA DE RESOLDRE! Cal treure denominadors, parèntesis i AGRUPAR.

 
]]> Resposta correcta:  #e5]]> 1.0000000 0.2500000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n2</mi><mo>=</mo><mi>m_1</mi><mo>·</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n3</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n4</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n5</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>e</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n6</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>f</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n7</mi><mo>=</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n8</mi><mo>=</mo><mi>m_4</mi><mo>*</mo><mi>h</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e5</mi><mo>=</mo><mi>sol</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>25</mn><mo>,</mo><mn>20</mn><mo>,</mo><mn>54</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>27</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>18</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6</mn><mo>,</mo><mn>5</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>29</mn><mo>=</mo><mn>50</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>25</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e5</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>29</mn><mo>=</mo><mn>50</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>25</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>54</mn><mn>65</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. 
El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x - #n2) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x - #n8)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8

Només cal agrupar

]]> Si agrupem #n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8,

ens queda: #e5

]]> 4.04.1.5.32Q Treu4DenominadorsAgrupa_2 Treu els denominadors de l'equació següent, treu parèntesis i agrupa

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta: 3x+6=11x-9
NO S'HA DE RESOLDRE! Cal treure denominadors, parèntesis i AGRUPAR.

 
]]> Resposta correcta:  #e5]]> 1.0000000 0.2500000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>6</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi></math></input></command><command><input><math 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xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>25</mn><mo>,</mo><mn>20</mn><mo>,</mo><mn>54</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>27</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>48</mn><mo>,</mo><mn>18</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6</mn><mo>,</mo><mn>5</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>29</mn><mo>=</mo><mn>50</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>25</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e5</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>29</mn><mo>=</mo><mn>50</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>25</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>54</mn><mn>65</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. 
El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x - #n2) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x - #n8)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8

Només cal agrupar

]]> Si agrupem #n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8,

ens queda: #e5

]]> 4.04.1.5.41Q Resol EG1 2Denominadors Resol

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta: x=-3/2 

 
]]> La solució és #sol

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xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>13</mn><mo>=</mo><mo>-</mo><mn>72</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>27</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>72</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>40</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>72</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>5</mn><mn>9</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>5</mn><mn>9</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x - #n2) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x - #n8)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8

Només cal agrupar i resoldre.

]]> Si agrupes   #n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8,

et queda #r_11

I si trasllades les x i els nombres, l'equació és equivalent a #r_12

]]> 4.04.1.5.42Q Resol EG1 3?Denominadors Resol

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta: x=-3/2 

 
]]> La solució és #sol

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>1</mn><mo>,</mo><mo>-</mo><mn>6</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>32</mn><mo>,</mo><mn>12</mn><mo>,</mo><mn>32</mn><mo>,</mo><mn>8</mn><mo>,</mo><mo>-</mo><mn>60</mn><mo>,</mo><mn>10</mn><mo>,</mo><mn>36</mn><mo>,</mo><mn>6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>120</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>30</mn><mo>,</mo><mn>15</mn><mo>,</mo><mn>12</mn><mo>,</mo><mn>20</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>180</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>105</mn><mo>=</mo><mo>-</mo><mn>192</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>32</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>372</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>137</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>372</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>137</mn><mn>372</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>137</mn><mn>372</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x - #n2) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x - #n8)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8

Només cal agrupar i resoldre.

]]> Si agrupes   #n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8,

et queda #r_11

I si trasllades les x i els nombres, l'equació és equivalent a #r_12

]]> 4.04.1.5.43Q Resol EG1 4?Denominadors Resol

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mstyle»«/math»


Format de la resposta: x=-3/2 

 
]]> La solució és #sol

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mo>-</mo><mn>1</mn><mo>*</mo><mi>aleatori</mi><mfenced><mrow><mn>2</mn><mo>,</mo><mn>5</mn></mrow></mfenced></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>h</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>m</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>20</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mo>(</mo><mi>m</mi><mo>≠</mo><mi>n</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>m</mi><mo>≠</mo><mi>o</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>m</mi><mo>≠</mo><mi>p</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>o</mi><mo>≠</mo><mi>p</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>mcd</mi><mo>(</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo><mo>≠</mo><mn>1</mn><mo>)</mo></mrow></apply></mtd></mtr><mtr><mtd><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></mtd></mtr><mtr><mtd><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>A1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi><mo>-</mo><mi>m_2</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>m_3</mi><mo>*</mo><mi>e</mi><mo>+</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mfenced><mrow><mi>A1</mi><mo>≠</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>A1</mi><mo>&lt;</mo><mn>500</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n2</mi><mo>=</mo><mi>m_1</mi><mo>·</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n3</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n4</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n5</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>e</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n6</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>f</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n7</mi><mo>=</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n8</mi><mo>=</mo><mi>m_4</mi><mo>*</mo><mi>h</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi><mo>=</mo><mfenced><mrow><mi>m_1</mi><mo>*</mo><mi>a</mi><mo>-</mo><mi>m_2</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>m_3</mi><mo>*</mo><mi>e</mi><mo>+</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></mrow></mfenced><mo>*</mo><mi>x</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>b</mi><mo>+</mo><mi>m_2</mi><mo>*</mo><mi>d</mi><mo>+</mo><mi>m_3</mi><mo>*</mo><mi>f</mi><mo>+</mo><mi>m_4</mi><mo>*</mo><mi>h</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>x</mi><mo>=</mo><msub><mi>S</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>7</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>7</mn><mo>,</mo><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>,</mo><mn>16</mn><mo>,</mo><mn>6</mn><mo>,</mo><mn>12</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>64</mn><mo>,</mo><mn>112</mn><mo>,</mo><mn>54</mn><mo>,</mo><mn>36</mn><mo>,</mo><mn>84</mn><mo>,</mo><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>48</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>48</mn><mo>,</mo><mn>3</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>108</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>21</mn><mo>=</mo><mn>44</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>48</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>152</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>69</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>152</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>69</mn><mn>152</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>69</mn><mn>152</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x ) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x  - #n3 x - #n4 = #n5 x + #n6 - #n7 x 

Només cal agrupar i resoldre.

]]> Si agrupes   #n1 x  - #n3 x - #n4 = #n5 x + #n6 - #n7 x 

et queda #r_11

I si trasllades les x i els nombres, l'equació és equivalent a #r_12

]]> 4.04.1.5.44Q Resol EG1 4Denominadors Resol

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»d«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»n«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»f«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»h«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»


Format de la resposta: x=-3/2 

 
]]> La solució és #sol

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>e</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>h</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>9</mn><mo>)</mo></mtd></mtr><mtr><mtd><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>20</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>20</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>o</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>p</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>2</mn><mo>,</mo><mn>16</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mo>(</mo><mi>m</mi><mo>≠</mo><mi>n</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>o</mi><mo>≠</mo><mi>p</mi><mo>)</mo><mo>∧</mo><mo>(</mo><mi>mcd</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo><mo>≠</mo><mn>1</mn><mo>)</mo></mrow></apply></mtd></mtr><mtr><mtd><mi>a_m</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>b_m</mi><mo>=</mo><mi>b</mi><mo>*</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>c_n</mi><mo>=</mo><mi>c</mi><mo>*</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>d_n</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>e_o</mi><mo>=</mo><mi>e</mi><mo>*</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>f_o</mi><mo>=</mo><mi>f</mi><mo>*</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>g_p</mi><mo>=</mo><mi>g</mi><mo>*</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>h_p</mi><mo>=</mo><mi>h</mi><mo>*</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>m_c</mi><mo>=</mo><mi>mcm</mi><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></mtd></mtr><mtr><mtd><mi>m_1</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>m</mi></mtd></mtr><mtr><mtd><mi>m_2</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>n</mi></mtd></mtr><mtr><mtd><mi>m_3</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>o</mi></mtd></mtr><mtr><mtd><mi>m_4</mi><mo>=</mo><mi>m_c</mi><mo>/</mo><mi>p</mi></mtd></mtr><mtr><mtd><mi>A1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi><mo>-</mo><mi>m_2</mi><mo>*</mo><mi>c</mi><mo>-</mo><mi>m_3</mi><mo>*</mo><mi>e</mi><mo>+</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mfenced><mrow><mi>A1</mi><mo>≠</mo><mn>0</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>A1</mi><mo>&gt;</mo><mn>500</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n1</mi><mo>=</mo><mi>m_1</mi><mo>*</mo><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n2</mi><mo>=</mo><mi>m_1</mi><mo>·</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n3</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>c</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n4</mi><mo>=</mo><mi>m_2</mi><mo>*</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n5</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>e</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n6</mi><mo>=</mo><mi>m_3</mi><mo>*</mo><mi>f</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n7</mi><mo>=</mo><mi>m_4</mi><mo>*</mo><mi>g</mi></math></input></command><command><input><math 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xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi><mo>=</mo><mi>resol</mi><mo>&nbsp;</mo><mi>equació</mi><mo>(</mo><mi>m_1</mi><mo>*</mo><mo>(</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>-</mo><mi>b</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_2</mi><mo>*</mo><mo>(</mo><mi>c</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>d</mi><mo>)</mo><mo>=</mo><mo>&nbsp;</mo><mi>m_3</mi><mo>*</mo><mo>(</mo><mi>e</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>f</mi><mo>)</mo><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>m_4</mi><mo>*</mo><mo>(</mo><mi>g</mi><mo>*</mo><mi>x</mi><mo>&nbsp;</mo><mo>-</mo><mo>&nbsp;</mo><mi>h</mi><mo>)</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mi>x</mi><mo>=</mo><msub><mi>S</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi><mo>,</mo><mi>d</mi><mo>,</mo><mi>e</mi><mo>,</mo><mi>f</mi><mo>,</mo><mi>g</mi><mo>,</mo><mi>h</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>4</mn><mo>,</mo><mn>1</mn><mo>,</mo><mo>-</mo><mn>7</mn><mo>,</mo><mn>7</mn><mo>,</mo><mn>9</mn><mo>,</mo><mn>8</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m</mi><mo>,</mo><mi>n</mi><mo>,</mo><mi>o</mi><mo>,</mo><mi>p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>20</mn><mo>,</mo><mn>16</mn><mo>,</mo><mn>8</mn><mo>,</mo><mn>14</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a_m</mi><mo>,</mo><mi>b_m</mi><mo>,</mo><mi>c_n</mi><mo>,</mo><mi>d_n</mi><mo>,</mo><mi>e_o</mi><mo>,</mo><mi>f_o</mi><mo>,</mo><mi>g_p</mi><mo>,</mo><mi>h_p</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>60</mn><mo>,</mo><mn>80</mn><mo>,</mo><mn>64</mn><mo>,</mo><mn>16</mn><mo>,</mo><mo>-</mo><mn>56</mn><mo>,</mo><mn>56</mn><mo>,</mo><mn>126</mn><mo>,</mo><mn>112</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m_c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>560</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>m_1</mi><mo>,</mo><mi>m_2</mi><mo>,</mo><mi>m_3</mi><mo>,</mo><mi>m_4</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>28</mn><mo>,</mo><mn>35</mn><mo>,</mo><mn>70</mn><mo>,</mo><mn>40</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_11</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>56</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>147</mn><mo>=</mo><mo>-</mo><mn>850</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>810</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r_12</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>794</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>957</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>794</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>957</mn><mn>794</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mfrac><mn>957</mn><mn>794</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal treure els denominadors calculant el mcm com en qualsevol suma de fraccions. El denominador comú és #m_c.
Després es treu el denominador, i queda:
#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

]]> Treu els parèntesis en dues fases per evitar errors.

#m_1(#a x - #b) - #m_2 (#c x + #d) = #m_3 (#e x + #f) - #m_4(#g x - #h)

Primer, multiplica pel nombre que tenen al davant sense emprar el signe d'aquest nombre:

(#n1 x - #n2) - (#n3 x + #n4) = (#n5 x + #n6) - (#n7 x - #n8)

Després treu els parèntesis canviant TOTS  els signes dels que tenen un signe "-" al davant.

#n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8

Només cal agrupar i resoldre.

]]> Si agrupes   #n1 x - #n2 - #n3 x - #n4 = #n5 x + #n6 - #n7 x + #n8,

et queda #r_11

I si trasllades les x i els nombres, l'equació és equivalent a #r_12

]]> 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.6 Problemes EG1 4.04.1.6.11Q NombresConsecutius ax+b=c

Dos nombres consecutius sumen #c. Determina quin és el més petit dels dos.

Escriu l'equació ax+b=c que correspon al problema 

Quin és el nombre més petit?    Format: x = 3

]]> 1.0000000 0.3333333 0 0 a) =#sol1b) =#sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>c</mi><mo>=</mo><mo>&nbsp;</mo><mi>aleatori</mi><mo>(</mo><mo>-</mo><mn>20</mn><mo>,</mo><mn>20</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>2</mn><mi>x</mi><mo>+</mo><mn>1</mn><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mrow><mn>2</mn><mi>x</mi><mo>+</mo><mn>1</mn><mo>=</mo><mi>c</mi></mrow></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></mtd></mtr></mtable><mrow><mi>sol3</mi><mo>∈</mo><integers/></mrow></apply></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>1</mn><mo>=</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mn>2</mn></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mn>2</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#8201;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Si són consecutius i el més petit és x, l'altre és x+1.

Només cal que la seva suma sigui igual a #c

]]> Si els nombres són x i x+1, la seva suma és x + x + 1 i ha de ser igual a #c

]]> 4.04.1.6.12Q NombresConsecutiusParells ax+b=c

Tres nombres parells consecutius sumen  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«/mrow»«/mstyle»«/math». Determina de quins nombres es tracten.

a) Escriu l'equació ax+b=c que correspon al problema 

b) Quins són els 3 nombres?    Format: {4,6,8}

c) Calcula la suma dels 3 nombres que has trobat (comprovació)

]]> 1.0000000 0.3333333 0 0 a) =#sol1b) =#sol2c) =#sol3]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>c</mi><mo>=</mo><mo>&nbsp;</mo><mi>aleatori</mi><mo>(</mo><mo>-</mo><mn>99</mn><mo>,</mo><mn>99</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>6</mn><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mrow><mn>3</mn><mi>x</mi><mo>+</mo><mn>6</mn><mo>=</mo><mi>c</mi></mrow></mfenced></mtd></mtr><mtr><mtd><mi>r1</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>r2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></mtd></mtr></mtable><mrow><mfenced><mrow><mi>r2</mi><mo>∈</mo><integers/></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>residu</mi><mo>(</mo><mi>r2</mi><mo>,</mo><mn>2</mn><mo>)</mo><mo>=</mo><mn>0</mn></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>r2</mi><mo>,</mo><mi>r2</mi><mo>+</mo><mn>2</mn><mo>,</mo><mi>r2</mi><mo>+</mo><mn>4</mn></mtd></mtr></mtable></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol3</mi><mo>=</mo><mi>c</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>6</mn><mo>=</mo><mo>-</mo><mn>30</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mn>12</mn></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mo>-</mo><mn>12</mn><mo>,</mo><mo>-</mo><mn>10</mn><mo>,</mo><mo>-</mo><mn>8</mn></mtd></mtr></mtable></mfenced></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#8201;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn><mspace linebreak="newline"/><mi>c</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>3</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Si són consecutius i el més petit és x, els següents són x+2 i x+4

Només cal que la seva suma sigui igual a #c

]]> Si els nombres són x, x+2 i x+4, la seva suma és x + x + 2 + x + 4 i ha de ser igual a #c

]]> 4.04.1.6.13Q NombresMúltipleFracció ax+b=c

Quin és el nombre tal que si al seu #a li resto el seu #b, el resultat és «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«/mrow»«/mstyle»«/math»

a) Escriu l'equació ax+b=c que correspon al problema 

b) Quin és el nombre?    Format: x=2

]]> 1.0000000 0.5000000 0 0 a) =#sol1b) =#sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mtable><mtr><mtd><mi>c</mi><mo>=</mo><mo>&nbsp;</mo><mi>aleatori</mi><mo>(</mo><mo>-</mo><mn>99</mn><mo>,</mo><mn>99</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>doble</mi><mo>,</mo><mi>triple</mi><mo>,</mo><mi>quadruple</mi></mtd></mtr></mtable></mfenced></mfenced></mtd></mtr></mtable></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>terç</mi><mo>,</mo><mi>quart</mi><mo>,</mo><mi>cinquè</mi></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>a</mi><mo>=</mo><mi>doble</mi></mrow><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>terç</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>2</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>3</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>3</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>quart</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>2</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>4</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>4</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>2</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>5</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>5</mn></mtd></mtr></mtable></apply></apply><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>a</mi><mo>=</mo><mi>triple</mi></mrow><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>terç</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>3</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>3</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>quart</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>4</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>4</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>5</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>5</mn></mtd></mtr></mtable></apply></apply><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>terç</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>4</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>3</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>4</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>3</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>b</mi><mo>=</mo><mi>quart</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>4</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>4</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>4</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>4</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>4</mn><mi>x</mi><mo>-</mo><mfrac><mi>x</mi><mn>5</mn></mfrac><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mi>sol1</mi></mfenced></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn></mrow></msub></mtd></mtr><mtr><mtd><mi>a1</mi><mo>=</mo><mn>4</mn></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>5</mn></mtd></mtr></mtable></apply></apply></apply></apply></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>49</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>,</mo><mi>a1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>quadruple</mi><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>,</mo><mi>b1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>quart</mi><mo>,</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>15</mn><mn>4</mn></mfrac><mo>*</mo><mi>x</mi><mo>=</mo><mo>-</mo><mn>49</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>196</mn><mn>15</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><mo>=</mo><mo>-</mo><mfrac><mn>196</mn><mn>15</mn></mfrac></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#8201;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Ja que és el #a i el #b, la resta és «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfrac mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨»x«/mi»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfrac»«/mstyle»«/math»

]]> 4.04.1.6.15Q Nombres Parèntesis

Dos nombres sumen #c.

Si al triple del primer li resto el doble del segon em dona el mateix que si al doble del primer li sumo el triple del segon.

Quins són els dos nombres?

Format {9/20,21/20}

]]> 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>10</mn><mo>,</mo><mn>90</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mrow><mn>3</mn><mi>x</mi><mo>-</mo><mn>2</mn><mo>*</mo><mo>(</mo><mi>c</mi><mo>-</mo><mi>x</mi><mo>)</mo><mo>=</mo><mn>2</mn><mi>x</mi><mo>+</mo><mn>3</mn><mo>*</mo><mfenced><mrow><mi>c</mi><mo>-</mo><mi>x</mi></mrow></mfenced></mrow></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mn>3</mn><mi>x</mi><mo>-</mo><mn>2</mn><mo>*</mo><mo>(</mo><mi>c</mi><mo>-</mo><mi>x</mi><mo>)</mo><mo>=</mo><mn>2</mn><mi>x</mi><mo>+</mo><mn>3</mn><mo>*</mo><mfenced><mrow><mi>c</mi><mo>-</mo><mi>x</mi></mrow></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x1</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y1</mi><mo>=</mo><mi>c</mi><mo>-</mo><mi>x1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x1</mi><mo>,</mo><mi>y1</mi></mtd></mtr></mtable></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>55</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mfrac><mn>275</mn><mn>6</mn></mfrac></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfrac><mn>275</mn><mn>6</mn></mfrac><mo>,</mo><mfrac><mn>55</mn><mn>6</mn></mfrac></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>110</mn><mo>=</mo><mo>-</mo><mi>x</mi><mo>+</mo><mn>165</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Com que els nombres sumen #c, si un nombre és x, l'altre és «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«/mrow»«/mstyle»«/math»

]]> L'equació es pot escriure:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»-«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«mo mathvariant=¨bold¨»-«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»

]]> 4.04.1.6.21Q Edats

 


parella

Si l'Ibrahim tingués #a anys més que la Judith, tindria #b anys.

Escriu l'equació ax+b=c que correspon al problema

Quants anys té la Judith? 

  

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 1.0000000 0.5000000 0 0 Equació=#cAnys= #d]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>4</mn><mo>,</mo><mn>9</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>12</mn><mo>,</mo><mn>25</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>a</mi><mo>+</mo><mi>d</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>x</mi><mo>+</mo><mi>a</mi><mo>=</mo><mi>b</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>E</mi><mi>q</mi><mi>u</mi><mi>a</mi><mi>c</mi><mi mathvariant="normal">i</mi><mi>&#243;</mi><mo>=</mo><mo>#</mo><mi>c</mi><mspace linebreak="newline"/><mi>A</mi><mi>n</mi><mi>y</mi><mi>s</mi><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi mathvariant="normal">d</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question>   x és l'edat de la Judith. Si l'Ibrahim en tingués #a de més, l'Ibrahim tindria x+#a anys, i haurien de ser iguals a #b anys.

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 4.04.1.6.22Q Edats (Pare doble filla)

Un pare té #a anys més que la seva filla de 4 anys.

D' aquí a quants anys l'edat del pare serà el doble de l'edat de la filla?

  

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 1.0000000 0.3333333 0 0 = #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>18</mn><mo>,</mo><mn>25</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p1</mi><mo>=</mo><mn>4</mn><mo>+</mo><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f1</mi><mo>=</mo><mn>4</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mn>4</mn><mo>-</mo><mn>8</mn><mo>+</mo><mi>a</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>21</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>25</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>17</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>   Ara la filla té 4 anys i el pare «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»p«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»

D'aquí als x anys que han de passar fins  que l'edat del pare sigui el doble de la de la filla:

  • l'edat del pare serà  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»p«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«/mrow»«/mstyle»«/math»
  • l'edat de la filla serà «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«/mrow»«/mstyle»«/math»

Com que la del pare és el doble, es pot escriure l'equació

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 L'equació és: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»p«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math»

]]> 4.04.1.6.31Q Compres (llibre i pantalons)

La Sara es compra un llibre.

La seva germana es gasta el #m i #b € més per comprar-se uns pantalons.

Quant valia el llibre si la germana ha gastat #c €?

a) Escriu l'equació ax+b=c que correspon al problema

b) Quants euros valia el llibre?

]]> 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 Conclusió: "La cultura és més barata i dura més que uns pantalons"

]]> 1.0000000 0.5000000 0 0 Equació=#e1Preu (€)=#s1]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>4</mn><mo>,</mo><mn>15</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>8</mn><mo>,</mo><mn>15</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>doble</mi><mo>,</mo><mi>triple</mi><mo>,</mo><mi>quadruple</mi></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>m</mi><mo>=</mo><mi>doble</mi></mrow><mrow><mi>a</mi><mo>=</mo><mn>2</mn></mrow><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>m</mi><mo>=</mo><mi>triple</mi></mrow><mrow><mi>a</mi><mo>=</mo><mn>3</mn></mrow><mrow><mi>a</mi><mo>=</mo><mn>4</mn></mrow></apply></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>s1</mi><mo>+</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi><mo>=</mo><mi>c</mi></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>E</mi><mi>q</mi><mi>u</mi><mi>a</mi><mi>c</mi><mi mathvariant="normal">i</mi><mi>&#243;</mi><mo>=</mo><mo>#</mo><mi mathvariant="normal">e</mi><mn>1</mn><mspace linebreak="newline"/><mi>P</mi><mi>r</mi><mi mathvariant="normal">e</mi><mi>u</mi><mo>&#160;</mo><mo>(</mo><mo>&#8364;</mo><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mn>1</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="inputCompound">true</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>  x és el preu del llibre.

Si la germana es gasta el #m del seu preu, es gasta #a·x, i a més, es gasta #b euros.

La suma de les despeses ha de ser igual a #c €.

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 4.04.1.6.32Q Compres (llibre+em tornen diners)

 Tinc una certa quantitat de diners dins la cartera. 

En gasto la meitat.

Un amic em torna #a euros que em devia i després compro un llibre per #l euros.

Ara tinc #f euros. 

  Quants euros tenia al principi? 

 




]]> 1.0000000 0.5000000 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>l</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>45</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>50</mn><mo>,</mo><mn>100</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>20</mn><mo>,</mo><mn>50</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mi>f</mi><mo>+</mo><mi>l</mi><mo>&gt;</mo><mi>a</mi></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mn>2</mn><mo>*</mo><mo>(</mo><mi>f</mi><mo>+</mo><mi>l</mi><mo>-</mo><mi>a</mi><mo>)</mo></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>l</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>23</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>71</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>50</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Si fem la traducció de l'enunciat i x eren els diners que tenia:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»l«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»f«/mi»«/mstyle»«/math»

 

]]> 4.04.1.6.33Q Compres (bat. Rebaixes)

El 15 de juny, varem veure un bat de beisbol i un guant que valien el mateix preu.

L'1 de juliol, han rebaixat el bat un #b1 % i el guant un #g1 % i els venen junts per #s euros.

Quin preu tenia el bat el 15 de juliol?

]]> 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 1.0000000 0.3333333 0 0 #sol <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>sol</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>20</mn><mo>,</mo><mn>80</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>b1</mi><mo>=</mo><mn>5</mn><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>7</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>g1</mi><mo>=</mo><mn>5</mn><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>7</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>s</mi><mo>=</mo><mfenced><mfrac><mrow><mn>200</mn><mo>-</mo><mi>b1</mi><mo>-</mo><mi>g1</mi></mrow><mn>100</mn></mfrac></mfenced><mo>*</mo><mi>sol</mi></mtd></mtr></mtable><mrow><mfenced><mrow><mi>b1</mi><mo>≠</mo><mi>g1</mi></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>s</mi><mo>∈</mo><naturalnumbers/></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b2</mi><mo>=</mo><mn>100</mn><mo>-</mo><mi>b1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g2</mi><mo>=</mo><mn>100</mn><mo>-</mo><mi>g1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mfrac><mrow><mi>b2</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>g2</mi><mo>*</mo><mi>x</mi></mrow><mn>100</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>50</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>b1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>35</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>80</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1.6</mn><mo>*</mo><mi>x</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>  Si  x era el preu del bat, el guant també valia x..

Amb les rebaixes, el bat i el guant valen:
  

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mn mathvariant=¨bold¨»100«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mn mathvariant=¨bold¨»100«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«/mrow»«/mstyle»«/math»

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 L'equació és doncs: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mn mathvariant=¨bold¨»100«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»g«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mn mathvariant=¨bold¨»100«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«/mstyle»«/math»

]]> 4.04.1.6.35Q Comptes (repartiment)  

Es reparteixen #s €  entre 3 persones de manera que en Joan rep #a euros més que la Maria, i la Marta rep la suma del que han rebut en Joan i la Maria.

  a) Quants euros ha rebut en Joan? 

 b) Quants euros ha rebut la Maria? 

 c) Quants euros ha rebut la Marta?  

]]> 1.0000000 0.3333333 0 0 a) Joan=#sol1b) Maria =#sol2c) Marta =#sol3]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>111</mn><mo>,</mo><mn>333</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>555</mn><mo>,</mo><mn>999</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi><mo>=</mo><mi>sol2</mi><mo>+</mo><mi>a</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol3</mi><mo>=</mo><mi>sol2</mi><mo>+</mo><mi>sol1</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s</mi><mo>=</mo><mi>sol1</mi><mo>+</mo><mi>sol2</mi><mo>+</mo><mi>sol3</mi></math></input></command></group></library></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#8201;</mo><mi>J</mi><mi>o</mi><mi>a</mi><mi>n</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#160;</mo><mi>M</mi><mi>a</mi><mi>r</mi><mi mathvariant="normal">i</mi><mi>a</mi><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn><mspace linebreak="newline"/><mi>c</mi><mo>)</mo><mo>&#160;</mo><mi>M</mi><mi>a</mi><mi>r</mi><mi>t</mi><mi>a</mi><mo>&#160;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>3</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> Si la Maria rep x euros, en Joan en rep x + #a i la Marta x + x + #a.

L'equació s'escriu igualant la suma dels 3 a #s

]]> Entre els tres han rebut doncs: 4x + 2·#a

]]> 4.04.1.6.41Q Tradicions (calçots)

 

En una calçotada, la Berenguera ha menjat el #m1 de calçots que l'Arnau. L'Arnau ha menjat tants calçots com la Sibil·la i la Morlana juntes. La Sibil·la i la Morlana han menjat els mateixos calçots, i entre tots s'han cruspit #c calçots.

a) Escriu l'equació que correspon al problema

b) Quants calçots ha menjat la Morlana? 

c) Quants calçots  ha menjat la Berenguera?

  

]]> 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1.0000000 0.5000000 0 0 Equació=#sol1Morlana= #sol2Berenguera=#sol3]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>19</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi><mo>=</mo><mi>aleatori</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>doble</mi><mo>,</mo><mo>&nbsp;</mo><mi>triple</mi><mo>,</mo><mo>&nbsp;</mo><mi>quadruple</mi></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol 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definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>m1</mi><mo>=</mo><mi>triple</mi></mrow><mtable><mtr><mtd><mi>c</mi><mo>=</mo><mn>18</mn><mo>*</mo><mi>a1</mi></mtd></mtr><mtr><mtd><mi>sol1</mi><mo>=</mo><mi>x</mi><mo>+</mo><mi>x</mi><mo>+</mo><mn>4</mn><mi>x</mi><mo>+</mo><mn>12</mn><mi>x</mi><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>6</mn><mo>*</mo><mi>a1</mi></mtd></mtr><mtr><mtd><mi>k</mi><mo>=</mo><mn>12</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>c</mi><mo>=</mo><mn>22</mn><mo>*</mo><mi>a1</mi></mtd></mtr><mtr><mtd><mi>sol1</mi><mo>=</mo><mi>x</mi><mo>+</mo><mi>x</mi><mo>+</mo><mn>4</mn><mi>x</mi><mo>+</mo><mn>16</mn><mi>x</mi><mo>=</mo><mi>c</mi></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>8</mn><mo>*</mo><mi>a1</mi></mtd></mtr><mtr><mtd><mi>k</mi><mo>=</mo><mn>16</mn></mtd></mtr></mtable></apply></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mi>a1</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>18</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>144</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>doble</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8</mn><mo>*</mo><mi>x</mi><mo>=</mo><mn>144</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>18</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>72</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>E</mi><mi>q</mi><mi>u</mi><mi>a</mi><mi>c</mi><mi mathvariant="normal">i</mi><mi>&#243;</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>M</mi><mi>o</mi><mi>r</mi><mi>l</mi><mi>a</mi><mi>n</mi><mi>a</mi><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn><mspace linebreak="newline"/><mi>B</mi><mi mathvariant="normal">e</mi><mi>r</mi><mi mathvariant="normal">e</mi><mi>n</mi><mi>g</mi><mi>u</mi><mi mathvariant="normal">e</mi><mi>r</mi><mi>a</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>3</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question>  La Morlana en menja x, i la Sibil·la també. Per tant l'Arnau en menja 4x i la Berenguera #k·x.

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 4.04.1.6.42Q Tradicions (castells)

La colla de castellers de Vilafranca té el triple de castellers que els Minyons de l'Arboç.

En una actuació a la Bisbal, #a1 castellers de Vilafranca van a ajudar els Minyons, de manera que en aquell moment, les dues colles tenen el mateix nombre de castellers.

 

a) Quants castellers té la colla de Vilafranca?

b) Quants castellers tenen els Minyons?

 

  

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 1.0000000 0.3333333 0 0 a) Castellers=#sol1b) Minyons= #sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="ca">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>110</mn><mo>,</mo><mn>150</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mo>=</mo><mi>resol</mi><mfenced><mrow><mn>3</mn><mi>x</mi><mo>-</mo><mi>a1</mi><mo>=</mo><mi>x</mi><mo>+</mo><mi>a1</mi></mrow></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><msub><mi>R</mi><mrow><mn>1</mn><mo>,</mo><mn>1</mn><mo>,</mo><mn>2</mn></mrow></msub></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi><mo>=</mo><mn>3</mn><mo>*</mo><mi>sol2</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>124</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>x</mi><mo>=</mo><mn>124</mn></mtd></mtr></mtable></mfenced></mtd></mtr></mtable></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>372</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>124</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>&#8201;</mo><mi>C</mi><mi>a</mi><mi>s</mi><mi>t</mi><mi mathvariant="normal">e</mi><mi>l</mi><mi>l</mi><mi mathvariant="normal">e</mi><mi>r</mi><mi>s</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#8201;</mo><mi>M</mi><mi mathvariant="normal">i</mi><mi>n</mi><mi>y</mi><mi>o</mi><mi>n</mi><mi>s</mi><mo>=</mo><mo>&#160;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_equations"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question>  Si els Minyons són x, i els castellers són 3x, en el moment en què s'ajuden

  • els Minyons són x + #a1
  • els castellers són 3x - #a1

 

]]> 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L'equació que cal escriure i resoldre és doncs:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»3«/mn»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mrow»«/mstyle»«/math»

]]> 4t ESO/4.04 EQUACIONS/4.04.1 Equació 1r grau/4.04.1.7 Aplicacions EG1 4.04.1.7.10 E1G FUNCIÓ AFÍ TALL EIX  
Equació per funcions afins

Si una funció és del tipus f(x) = ax + b 

i volem saber per quin valor de x talla l'eix horitzontal

hem de resoldre

ax + b = 0

També sabem que talla l'eix vertical en (0,b) 
 



]]> 0.0000000 0.0000000 0 4.04.1.7.11Q FuncióAfíInterseccióEix Amb la funció «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mrow»«/mstyle»«/math»,

a) determina en quin punt talla l'eix de les abscisses

b) determina en quin punt talla l'eix de les ordenades


Format de la resposta: 

a) (4,0)

b) (0,4)

]]> El gràfic és #G

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xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>6</mn><mo>,</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>6</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>6</mn><mo>*</mo><mi>x</mi><mo>+</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced><mrow><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>,</mo><mn>0</mn></mrow></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced><mrow><mn>0</mn><mo>,</mo><mn>3</mn></mrow></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tauler1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> a) Si talla l'eix de les abscisses, cal resoldre «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»0«/mn»«/mstyle»«/math»

 

]]> b) Si talla l'eix de les ordenades, en l'expressió #e1, substitueix x per 0

]]> 4.04.1.7.15 EG1 FUNCIÓ AFÍ VALOR NUMÈRIC  
Valor numèric

Si una funció és del tipus f(x) = ax + b 

i volem calcular la imatge de x = k

hem de substituir x  per k.

Exemple: Si  f(x) = 2x + 4.      f(2) =  2·2+4 = 8
 



]]> 0.0000000 0.0000000 0 4.04.1.7.16Q Valor numèric de ax+b per x = K Amb la funció «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8201;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»e«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«/mrow»«/mstyle»«/math», calcula

A) f(#k1)

B) f(#k2)

Format de la resposta: 

A) 4

B) -3

]]> El gràfic és #G1

]]> 1.0000000 0.5000000 0 0 A)=#sol1B)=#sol2]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">repeat</csymbol><mtable><mtr><mtd><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>4</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>b</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>4</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>k1</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>4</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>k2</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mo>{</mo><mo>-</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>}</mo><mo>)</mo><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>1</mn><mo>,</mo><mn>4</mn><mo>)</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mrow><mfenced><mrow><mi>mcd</mi><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo><mo>≠</mo><mn>1</mn></mrow></mfenced><mo>∧</mo><mfenced><mrow><mi>k1</mi><mo>≠</mo><mi>k2</mi></mrow></mfenced></mrow></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>:</mo><mo>=</mo><mi>a</mi><mo>*</mo><mi>x</mi><mo>+</mo><mi>b</mi></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi><mo>=</mo><mi>f</mi><mo>(</mo><mi>k1</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi><mo>=</mo><mi>f</mi><mo>(</mo><mi>k2</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mi>punt</mi><mo>(</mo><mi>k1</mi><mo>,</mo><mi>sol1</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B</mi><mo>=</mo><mi>punt</mi><mo>(</mo><mi>k2</mi><mo>,</mo><mi>sol2</mi><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>T1</mi><mo>=</mo><mi>tauler</mi><mfenced><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>amplada</mi><mo>=</mo><mn>41</mn><mo>,</mo><mi>altura</mi><mo>=</mo><mn>41</mn></mtd></mtr></mtable></mfenced></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G1</mi><mo>=</mo><mi>dibuixa</mi><mo>(</mo><mi>T1</mi><mo>,</mo><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G1</mi><mo>=</mo><mi>dibuixa</mi><mfenced><mrow><mi>T1</mi><mo>,</mo><mi>A</mi><mo>,</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>color</mi><mo>=</mo><mi>vermell</mi><mo>,</mo><mi>mida_punt</mi><mo>=</mo><mn>5</mn><mo>,</mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cert</mi></mtd></mtr></mtable></mfenced></mrow></mfenced></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G1</mi><mo>=</mo><mi>dibuixa</mi><mfenced><mrow><mi>T1</mi><mo>,</mo><mi>B</mi><mo>,</mo><mfenced close="}" open="{"><mtable align="center"><mtr><mtd><mi>color</mi><mo>=</mo><mi>vermell</mi><mo>,</mo><mi>mida_punt</mi><mo>=</mo><mn>5</mn><mo>,</mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cert</mi></mtd></mtr></mtable></mfenced></mrow></mfenced></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>(</mo><mi>a</mi><mo>,</mo><mi>b</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>,</mo><mo>-</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>(</mo><mi>x</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>*</mo><mi>x</mi><mo>-</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>k1</mi><mo>,</mo><mi>k2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>3</mn><mo>,</mo><mo>-</mo><mn>4</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>12</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>,</mo><mi>B</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced><mrow><mo>-</mo><mn>3</mn><mo>,</mo><mo>-</mo><mn>12</mn></mrow></mfenced><mo>,</mo><mfenced><mrow><mo>-</mo><mn>4</mn><mo>,</mo><mo>-</mo><mn>15</mn></mrow></mfenced></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>G1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tauler1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>B</mi><mo>)</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="inputCompound">true</data></localData></question> a) En l'expressió #e1, susbtitueix x per #k1 i opera.

b) En l'expressió #e1, substitueix x per #k2 i opera

]]> 4.04.1.7.20 F = ma  
  F=ma  
   

La resultant de les forces que s'aplica a una massa m provoca una acceleració d'aquesta massa.

La força total F que s'exerceix sobre una massa m és igual al producte de m per l'acceleració a.

F = m·a

  
 



]]> 0.0000000 0.0000000 0 4.04.1.7.21Q Cotxe: trobar acceleració

Sobre un cotxe actuen la força del motor, que provoca el moviment, de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«/mstyle»«/math» N i la resistència de l’aire, que s’oposa al moviment, de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»r«/mi»«/mrow»«/mstyle»«/math» N. Si la seva massa és de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«/mrow»«/mstyle»«/math» kg, quina serà la seva acceleració (en m/s2)?

Format: arrodonida als centèsims 

 

 

 

]]> 1.0000000 0.5000000 0 0 #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>4000</mn><mo>,</mo><mn>6000</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>800</mn><mo>,</mo><mn>1500</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>400</mn><mo>,</mo><mn>600</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mfrac><mrow><mi>f</mi><mo>-</mo><mi>r</mi></mrow><mi>m</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mfrac><mrow><mi>arrodoneix</mi><mo>(</mo><mn>100</mn><mo>*</mo><mi>a</mi><mo>)</mo></mrow><mn>100</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4567</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>r</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1104</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>498</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>3463</mn><mn>498</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6.95</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal aïllar a de l'expressió F = m·a i per tant «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»m«/mi»«/mfrac»«/mrow»«/mstyle»«/math»

En aquest cas, la força resultant és la diferència entre la força del motor i la resistència de l'aire.

]]> 4.04.1.7.22Q Tennis: trobar massa

Una raqueta de tennis impacta la pilota amb una força de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«/mrow»«/mstyle»«/math» N i li comunica una acceleració de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«/mrow»«/mstyle»«/math» m/s2. Quina és la massa de la pilota?

 

Format: en grams, arrodonida als dècims

 

 

 

]]> 1.0000000 0.5000000 0 0 #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mfrac><mrow><mi>aleatori</mi><mo>(</mo><mn>9</mn><mo>,</mo><mn>20</mn><mo>)</mo></mrow><mn>10</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>19</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mfrac><mi>f</mi><mi>a</mi></mfrac><mo>*</mo><mn>1000</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mfrac><mrow><mi>arrodoneix</mi><mo>(</mo><mn>10</mn><mo>*</mo><mi>m</mi><mo>)</mo></mrow><mn>10</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>16</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>62.5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>62.5</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal aïllar m de l'expressió F = m·a i per tant «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mfrac»«/mstyle»«/math»

Com que la unitat del SI per la massa és el kg, cal que converteixis la massa a grams per donar el resultat.

]]> 4.04.1.7.30 U=RI LLEI D'OHM  
     Llei d'Ohm

En un conductor elèctric si V és la diferència de potència (és el que fa que es moguin els electrons), R és la resistència (al pas dels electrons) i I és la intensitat (quantitat d'electrons que passen per unitat de temps): 

V = R·I

 

Unitats: V en volts, R en ohms I en amperes

 
 



]]> 0.0000000 0.0000000 0 4.04.1.7.31Q Lleid'Ohm Calcular R

En un circuit elèctric on circula un corrent d'intensitat #a A , la diferència de potència és de«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»f«/mi»«/mrow»«/mstyle»«/math» V .

Quina és la resistència del circuit?

Format: en ohms, arrodonida als dècims

 



 

]]> 1.0000000 0.5000000 0 0 #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>V</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>110</mn><mo>,</mo><mn>360</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>11</mn><mo>,</mo><mn>19</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mo>=</mo><mfrac><mi>V</mi><mi>I</mi></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mfrac><mrow><mi>arrodoneix</mi><mo>(</mo><mn>100</mn><mo>*</mo><mi>R</mi><mo>)</mo></mrow><mn>100</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>V</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>313</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>16</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>19.56</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal aïllar R de l'expressió V = R·I i per tant «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»R«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»V«/mi»«mi mathvariant=¨bold¨»I«/mi»«/mfrac»«/mstyle»«/math»

 

]]> 4.04.1.7.40 p = F/s  
Força i pressió

Si s'exerceix una força F sobre una superfície s,

la pressió es calcula amb:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»p«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»s«/mi»«/mfrac»«/mrow»«/mstyle»«/math»

La pressió es mesura en pascals (Pa) = 1N/1 m2 

( i també en bars, en mm de mercuri i altres)
 



]]> 0.0000000 0.0000000 0 4.04.1.7.41Q P=F/s Calcular s

Un got de base circular que conté #m g d'aigua exerceix una pressió de #p Pa sobre la taula. 

Quin és el radi de la base del got si en aquest lloc, l'acceleració de la gravetat és de 9,8 m/s2?

Format: en cm, arrodonit als dècims

 



 

]]> 1.0000000 0.2500000 0 0 #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>80</mn><mo>,</mo><mn>250</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mfrac><mrow><mi>aleatori</mi><mo>(</mo><mn>10</mn><mo>,</mo><mn>20</mn><mo>)</mo></mrow><mn>10</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi><mo>=</mo><mfrac><mi>m</mi><mn>1000</mn></mfrac></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s1</mi><mo>=</mo><pi/><mo>*</mo><msup><mfenced><mi>sol</mi></mfenced><mn>2</mn></msup></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>F1</mi><mo>=</mo><mi>m1</mi><mo>*</mo><mn>9</mn><mo>.</mo><mn>8</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mfrac><mi>F1</mi><mi>s1</mi></mfrac></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>238</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>119</mn><mn>500</mn></mfrac></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0.32997</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1.5</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">6</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question> Cal aïllar s de l'expressió p=F/s i per tant «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»p«/mi»«/mfrac»«/mstyle»«/math»

 

Recorda que per calcular F que és el pes de l'aigua, cal multiplicar la seva  massa (en kg) per l'acceleració de la gravetat: F = m·9,8 

]]> El pes de l'aigua és F = #m1 ·9,8 = #F1

La superfície de la base del got és doncs: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»F«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»p«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»

]]> I com que s = π·r2, es pot calcular r: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«msqrt mathcolor=¨#003300¨»«mfrac»«mi mathvariant=¨bold¨»s«/mi»«mi mathvariant=¨bold¨»§#960;«/mi»«/mfrac»«/msqrt»«/mrow»«/mstyle»«/math»

]]> 4.04.1.7.50 MRU  
Moviment rectilini uniforme

L'equació del moviment en un desplaçament rectilini a velocitat constant és:

x = v·t + x0

On x és la posició (unitats: metres), v la velocitat (unitats: metres per segon), t el temps (en segons) i x0 la posició inicial (en metres).

Resoldre un exercici de MRU equival a resoldre una equació  on la incògnita pot ser x, v, t o x0
 



]]> 0.0000000 0.0000000 0 4.04.1.7.51Q MRU Calcular v  

Les estacions d'Aquí i d'Allà estan separades per #m m. Un metro surt de l'estació d'Allà a velocitat constant en direcció a l'estació d'Aquí. Si al cap de #t s es troba a una distància de #m1 m de l'estació d'Aquí, a quina velocitat (suposada constant) circula?

 

Format: en m/s, arrodonida als dècims

 



 

]]> Com que l'orientació positiva va d'Aquí (0 m) a Allà (#m m), és normal que la velocitat sigui negativa ja que el metro va en sentit contrari.

]]> 1.0000000 0.5000000 0 0 #sol]]> <question><wirisCasSession><![CDATA[<session lang="ca" version="2.0"><library closed="false"><mtext style="color:#ffc800" xml:lang="es">variables</mtext><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mn>10</mn><mo>*</mo><mi>aleatori</mi><mo>(</mo><mn>35</mn><mo>,</mo><mn>50</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi><mo>=</mo><mo>-</mo><mfrac><mrow><mi>aleatori</mi><mo>(</mo><mn>15</mn><mo>,</mo><mn>30</mn><mo>)</mo></mrow><mn>10</mn></mfrac><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi><mo>=</mo><mi>aleatori</mi><mo>(</mo><mn>20</mn><mo>,</mo><mn>50</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi><mo>=</mo><mi>m</mi><mo>+</mo><mi>sol</mi><mo>*</mo><mi>t</mi></math></input></command></group></library><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>390</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>305.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>34</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2.5</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><correctAnswers><correctAnswer type="mathml"><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">6</option><option name="implicit_times_operator">false</option><option name="times_operator">·</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">popupEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>

L'equació del moviment és x = vt + x0 amb  x0 = #m (el metro surt d'Allà).

Només cal que aïllis v.

]]> Si aïlles v, «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»v«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«msub»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»0«/mn»«/msub»«/mrow»«mi mathvariant=¨bold¨»t«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»-«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«/mrow»«mi mathvariant=¨bold¨»t«/mi»«/mfrac»«/mstyle»«/math»

Ara només cal que substitueixis.

 

]]>