Ámbito Científico-Tecnológico ESA Nivel II/Bloque 09 CTII B09 T01 04 Coordenadas ¿Cuáles son las coordenadas del punto?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x1,#y1)

]]> Muy bien.

]]> (#y1,#x1)

]]> Incorrecto. Fíjate que la primera coordenada se corresponde con el eje horizontal y la segunda con el eje vertical.

]]> (#x2,#y2)

]]> Incorrecto.

Tenemos dos puntos en el plano:

A=(#x1,#y1)

B=(#x2,#y2)

Calcula el vector «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mrow»«mi»A«/mi»«mi»B«/mi»«/mrow»«mo»§#8640;«/mo»«/mover»«/math».

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x3,#y3)

]]> Muy bien.

]]> (#y3,#x3)

]]> Cuidado. Estás confundiendo el orden de las componentes.

]]> (#x4,#y3)

]]> Incorrecto. El signo de la componente x está mal.

]]> (#x3,#y4)

]]> Incorrecto. El signo de la componente y está mal.

]]> (#x4,#y4)

]]> Incorrecto. Los signos están mal.

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x1,#y1)

]]> Muy bien.

]]> (#y1,#x1)

]]> Incorrecto. Recuerda que la primera componente se refiere al eje horizontal y la segunda al eje vertical.

]]> (#x2,#y2)

]]> Incorrecto. Cuidado con el signo. Recuerda que la primera componente se refiere al eje horizontal y la segunda al eje vertical.

]]> (#x3,#y3)

]]> Incorrecto. Cuidado con el signo. Recuerda que la primera componente se refiere al eje horizontal y la segunda al eje vertical.

]]> (#x4,#y4)

]]> Incorrecto. Cuidado con el signo. Recuerda que la primera componente se refiere al eje horizontal y la segunda al eje vertical.

]]> <question><wirisCasSession><![CDATA[<session lang="es" 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>T1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>12</mn><mo>,</mo><mn>12</mn><mo>,</mo><mo>{</mo><mi>altura_ventana</mi><mo>=</mo><mn>640</mn><mo>,</mo><mi>anchura_ventana</mi><mo>=</mo><mn>640</mn><mo>}</mo><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr></mtable><mrow><mo>(</mo><mi>x1</mi><mo>≠</mo><mn>0</mn><mo>&or;</mo><mi>y1</mi><mo>≠</mo><mn>0</mn><mo>)</mo><mo>&and;</mo><mo>(</mo><mi>x1</mi><mo>≠</mo><mi>y1</mi><mo>)</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>x1</mi><mo>=</mo><mn>0</mn></mrow><mtable><mtr><mtd><mi>x2</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mo>-</mo><mi>y1</mi></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>y1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>x4</mi><mo>=</mo><mo>-</mo><mi>y1</mi></mtd></mtr><mtr><mtd><mi>y4</mi><mo>=</mo><mn>0</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>y1</mi><mo>=</mo><mn>0</mn></mrow><mtable><mtr><mtd><mi>x2</mi><mo>=</mo><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>x4</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>y4</mi><mo>=</mo><mo>-</mo><mi>x1</mi></mtd></mtr></mtable><mtable><mtr><mtd><mi>x2</mi><mo>=</mo><mi>y1</mi></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y1</mi></mtd></mtr><mtr><mtd><mi>x4</mi><mo>=</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y4</mi><mo>=</mo><mo>-</mo><mi>y1</mi></mtd></mtr></mtable></apply></apply></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mo>[</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>]</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>T1</mi><mo>,</mo><mo>[</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>]</mo><mo>,</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>}</mo><mo>)</mo></math></input></command></group></library><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="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="casSession"></data></localData></question> CTII B09 T01 07 Punto de aplicación #grafico

¿Cuáles son las coordenadas del punto de aplicación del vector «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mrow»«mi»A«/mi»«mi»B«/mi»«/mrow»«mo»§#8640;«/mo»«/mover»«/math»?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x1,#y1)

]]> Muy bien.

]]> (#x2,#y2)

]]> Cuidado. Estás confundiendo ese no es el punto de aplicación.

]]> (#y1,#x1)

]]> Incorrecto. Has confundido de orden las coordenadas.

]]> (#y2,#x2)

]]> Incorrecto. Te has confundido de punto y además no has escrito en el orden correcto las coordenadas.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></mtd></mtr></mtable><mrow><mo>(</mo><mi>x3</mi><mo>≠</mo><mn>0</mn><mo>&or;</mo><mi>y3</mi><mo>≠</mo><mn>0</mn><mo>)</mo><mo>&and;</mo><mo>(</mo><mi>x1</mi><mo>≠</mo><mi>y1</mi><mo>)</mo></mrow></apply></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x4</mi><mo>=</mo><mo>-</mo><mi>x3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y4</mi><mo>=</mo><mo>-</mo><mi>y3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x2</mi><mo>,</mo><mi>y2</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>,</mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>etiqueta</mi><mo>=</mo><mi>B</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mo>[</mo><mi>x3</mi><mo>,</mo><mi>y3</mi><mo>]</mo><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo> </mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>3</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>naranja</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></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><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y1</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>x2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y2</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>x3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>3</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="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">2</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T01 08 Módulo vector a partir de gráfico #grafico

¿Cuál es el módulo del vector «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math»?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #d

]]> Muy bien.

]]> #e

]]> Cuidado. Te has pasado bastante. Recuerda que es la longitud del vector. ¿Has tenido en cuenta lo que mide cada división?

]]> #f

]]> Incorrecto. Cuenta mejor.

]]> #g

]]> Incorrecto. Cuenta mejor.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></mtd></mtr></mtable><mrow><mo>(</mo><mi>x3</mi><mo>≠</mo><mn>0</mn><mo>&and;</mo><mi>y3</mi><mo>=</mo><mn>0</mn><mo>)</mo><mo>&or;</mo><mo>(</mo><mi>x3</mi><mo>=</mo><mn>0</mn><mo>&and;</mo><mi>y3</mi><mo>≠</mo><mn>0</mn><mo>)</mo></mrow></apply></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>d</mi><mo>=</mo><mo>(</mo><msup><mi>x3</mi><mn>2</mn></msup><mo>+</mo><msup><mi>y3</mi><mn>2</mn></msup><msup><mo>)</mo><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msup></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>e</mi><mo>=</mo><mn>2</mn><mi>d</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>f</mi><mo>=</mo><mi>d</mi><mo>+</mo><mn>1</mn></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>9.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>g</mi><mo>=</mo><mi>d</mi><mo>-</mo><mn>1</mn></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>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>nombre_eitqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x2</mi><mo>,</mo><mi>y2</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>,</mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>nombre_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>etiqueta</mi><mo>=</mo><mi>B</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mo>[</mo><mi>x3</mi><mo>,</mo><mi>y3</mi><mo>]</mo><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo> </mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>3</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>naranja</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">2</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T01 09 Módulo vector #grafico

Calcula el tamaño o módulo del vector:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mrow»«mi»A«/mi»«mi»B«/mi»«/mrow»«mo»§#8640;«/mo»«/mover»«/math»=(#x3, #y3)

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #d

]]> Muy bien.

]]> #e

]]> Cuidado. Tienes que aplicar la fórmula siguiente: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced open=¨|¨ close=¨|¨»«mover»«mrow»«mi»A«/mi»«mi»B«/mi»«/mrow»«mo»§#8640;«/mo»«/mover»«/mfenced»«mo»=«/mo»«msqrt»«msup»«mi»x«/mi»«mn»2«/mn»«/msup»«mo»+«/mo»«msup»«mi»y«/mi»«mn»2«/mn»«/msup»«/msqrt»«/math»

]]> #f

]]> #x3

]]> Cuidado. Estás confundiendo el tamaño del vector con su componente x.

]]> #y3

]]> Cuidado. Estás confundiendo el tamaño del vector con su componente y.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></mtd></mtr></mtable><mrow><mi>x3</mi><mo>≠</mo><mn>0</mn><mo>&or;</mo><mi>y3</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x4</mi><mo>=</mo><mo>-</mo><mi>x3</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>y4</mi><mo>=</mo><mo>-</mo><mi>y3</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mo>(</mo><mo>(</mo><mi>x3</mi><msup><mo>)</mo><mn>2</mn></msup><mo>+</mo><mo>(</mo><mi>y3</mi><msup><mo>)</mo><mn>2</mn></msup><msup><mo>)</mo><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msup></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4.4721</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><mi>d</mi><mo>*</mo><mi>d</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>20.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>d</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8.9443</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>,</mo><mo>{</mo><mi>anchura_tablero</mi><mo>=</mo><mn>640</mn><mo>,</mo><mo> </mo><mi>altura_tablero</mi><mo>=</mo><mn>640</mn><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x2</mi><mo>,</mo><mi>y2</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>,</mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>B</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mo>[</mo><mi>x3</mi><mo>,</mo><mi>y3</mi><mo>]</mo><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo> </mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>3</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>verde</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">3</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T01 10 Producto por escalar (coordenadas) Calcula las componentes del vector suma resultante de multiplicar «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math» por #k .

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math»=(#x1,#y1)

]]> Recuerda que para multiplicar un vector por un escalar de forma analítica debes multiplicar la componentes x e y por el escalar.

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»k«/mi»«mo»§#183;«/mo»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mi»x«/mi»«mo»,«/mo»«mo»§#160;«/mo»«mi»k«/mi»«mo»§#183;«/mo»«mi»y«/mi»«mo»)«/mo»«/math»

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x4,#y4)

]]> Muy bien.

]]> (#x5,#y5)

]]> Cuidado. Has dividido en vez de multiplicar.

]]> (#x6,#y6)

]]> Cuidado. Has sumado en vez de multiplicar.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>k</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>)</mo></mtd></mtr></mtable><mrow><mi>k</mi><mo>≠</mo><mn>1</mn><mo>&and;</mo><mi>k</mi><mo>≠</mo><mn>0</mn><mo>&and;</mo><mi>k</mi><mo>≠</mo><mo>-</mo><mn>1</mn></mrow></apply></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>x1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>3</mn></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>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x4</mi><mo>=</mo><mi>k</mi><mo>*</mo><mi>x1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>15</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y4</mi><mo>=</mo><mi>k</mi><mo>·</mo><mi>y1</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>x5</mi><mo>=</mo><mi>x1</mi><mo>*</mo><mo>(</mo><mi>k</mi><msup><mo>)</mo><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0.6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y5</mi><mo>=</mo><mi>y1</mi><mo>·</mo><mo>(</mo><mi>k</mi><msup><mo>)</mo><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>0.6</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x6</mi><mo>=</mo><mi>x1</mi><mo>+</mo><mi>k</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>y6</mi><mo>=</mo><mi>y1</mi><mo>+</mo><mi>k</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>,</mo><mo>{</mo><mi>anchura_tablero</mi><mo>=</mo><mn>640</mn><mo>,</mo><mo> </mo><mi>altura_tablero</mi><mo>=</mo><mn>640</mn><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">2</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T01 14 Resta vectores (coordenadas) Calcula las componentes del vector resta de los vectores «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math» y «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math».

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math»=(#x1,#y1)

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math»=(#x2,#y2)

]]> Recuerda que para restar dos vectores de forma analítica debes restar entre sí las componentes x y las componentes y.

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»-«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mi»x«/mi»«mn»1«/mn»«mo»-«/mo»«mi»x«/mi»«mn»2«/mn»«mo»,«/mo»«mo»§#160;«/mo»«mi»y«/mi»«mn»1«/mn»«mo»-«/mo»«mi»y«/mi»«mn»2«/mn»«mo»)«/mo»«/math»

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x4,#y4)

]]> Muy bien.

]]> (#x5,#y5)

]]> Cuidado. Has sumado en vez de sumar.

]]> (#x6,#y6)

]]> Cuidado. Has restado pero no en el orden adecuado.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></mtd></mtr></mtable><mrow><mi>x3</mi><mo>≠</mo><mn>0</mn><mo>&or;</mo><mi>y3</mi><mo>≠</mo><mn>0</mn></mrow></apply></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>x4</mi><mo>=</mo><mi>x1</mi><mo>-</mo><mi>x2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y4</mi><mo>=</mo><mi>y1</mi><mo>-</mo><mi>y2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x5</mi><mo>=</mo><mi>x1</mi><mo>+</mo><mi>x2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y5</mi><mo>=</mo><mi>y1</mi><mo>+</mo><mi>y2</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>x6</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y6</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</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>d</mi><mo>=</mo><mo>(</mo><mo>(</mo><mi>x3</mi><msup><mo>)</mo><mn>2</mn></msup><mo>+</mo><mo>(</mo><mi>y3</mi><msup><mo>)</mo><mn>2</mn></msup><msup><mo>)</mo><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msup></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5.3852</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e</mi><mo>=</mo><msup><mi>d</mi><mn>2</mn></msup></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>29.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>f</mi><mo>=</mo><mn>2</mn><mo>*</mo><mi>d</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>10.77</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>,</mo><mo>{</mo><mi>anchura_tablero</mi><mo>=</mo><mn>640</mn><mo>,</mo><mo> </mo><mi>altura_tablero</mi><mo>=</mo><mn>640</mn><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x2</mi><mo>,</mo><mi>y2</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>,</mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>B</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mo>[</mo><mi>x3</mi><mo>,</mo><mi>y3</mi><mo>]</mo><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo> </mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>3</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>verde</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">2</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T01 15 Suma vectores (coordenadas) Calcula las componentes del vector suma de los vectores «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math» y «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math».

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«/math»=(#x1,#y1)

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«/math»=(#x2,#y2)

]]> Recuerda que para sumar dos vectores de forma analítica debes sumar entre sí las componentes x y las componentes y.

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover»«mi»a«/mi»«mo»§#8640;«/mo»«/mover»«mo»+«/mo»«mover»«mi»b«/mi»«mo»§#8640;«/mo»«/mover»«mo»=«/mo»«mo»(«/mo»«mi»x«/mi»«mn»1«/mn»«mo»+«/mo»«mi»x«/mi»«mn»2«/mn»«mo»,«/mo»«mo»§#160;«/mo»«mi»y«/mi»«mn»1«/mn»«mo»+«/mo»«mi»y«/mi»«mn»2«/mn»«mo»)«/mo»«/math»

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x4,#y4)

]]> Muy bien.

]]> (#x5,#y5)

]]> Cuidado. Has restado en vez de sumar.

]]> (#x6,#y6)

]]> Cuidado. Has restado en vez de sumar.

]]> <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>x1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y1</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>y2</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>,</mo><mo> </mo><mn>5</mn><mo>)</mo></mtd></mtr><mtr><mtd><mi>x3</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</mi></mtd></mtr><mtr><mtd><mi>y3</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></mtd></mtr></mtable><mrow><mi>x3</mi><mo>≠</mo><mn>0</mn><mo>&or;</mo><mi>y3</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x4</mi><mo>=</mo><mi>x1</mi><mo>+</mo><mi>x2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y4</mi><mo>=</mo><mi>y1</mi><mo>+</mo><mi>y2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>10</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x5</mi><mo>=</mo><mi>x1</mi><mo>-</mo><mi>x2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y5</mi><mo>=</mo><mi>y1</mi><mo>-</mo><mi>y2</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x6</mi><mo>=</mo><mi>x2</mi><mo>-</mo><mi>x1</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>y6</mi><mo>=</mo><mi>y2</mi><mo>-</mo><mi>y1</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>d</mi><mo>=</mo><mo>(</mo><mo>(</mo><mi>x3</mi><msup><mo>)</mo><mn>2</mn></msup><mo>+</mo><mo>(</mo><mi>y3</mi><msup><mo>)</mo><mn>2</mn></msup><msup><mo>)</mo><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msup></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>e</mi><mo>=</mo><msup><mi>d</mi><mn>2</mn></msup></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>f</mi><mo>=</mo><mn>2</mn><mo>*</mo><mi>d</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>2.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi><mo>=</mo><mi>tablero</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>)</mo><mo>,</mo><mn>11</mn><mo>,</mo><mn>11</mn><mo>,</mo><mo>{</mo><mi>anchura_tablero</mi><mo>=</mo><mn>640</mn><mo>,</mo><mo> </mo><mi>altura_tablero</mi><mo>=</mo><mn>640</mn><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>A</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x2</mi><mo>,</mo><mi>y2</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>,</mo><mi>tamaño_punto</mi><mo>=</mo><mn>7</mn><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>nombre</mi><mo>=</mo><mi>B</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafico</mi><mo>=</mo><mi>dibujar</mi><mo>(</mo><mi>tablero1</mi><mo>,</mo><mo> </mo><mo>[</mo><mi>x3</mi><mo>,</mo><mi>y3</mi><mo>]</mo><mo>,</mo><mo> </mo><mi>punto</mi><mo>(</mo><mi>x1</mi><mo>,</mo><mi>y1</mi><mo>)</mo><mo>,</mo><mo> </mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>3</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>verde</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">2</option><option name="times_operator"></option><option name="implicit_times_operator">false</option><option name="imaginary_unit"></option><option name="answer_parameter">true</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data></localData></question> CTII B09 T02 09 Desplazamiento #grafico

Un móvil se desplaza desde el punto A hasta el punto B.

A=(#x1,#y1)

B=(#x2,#y2)

Calcula el vector desplazamiento.

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> (#x3,#y3)

]]> Muy bien.

]]> (#y3,#x3)

]]> Cuidado. Estás confundiendo el orden de las componentes.

]]> (#x4,#y3)

]]> Incorrecto. El signo de la componente x está mal.

]]> (#x3,#y4)

]]> Incorrecto. El signo de la componente y está mal.

]]> (#x4,#y4)

]]> Incorrecto. Los signos están mal.

]]> Recuerda que para pasar la velocidad de km/h a m/s debes multiplicar por 1000 y dividir por 3600.

]]> 1.0000000 0.3333333 0 0 #sol Muy bien.

]]> #sol2 Incorrecto. ¿Estás seguro/a de que has operado correctamente?

Si tu resultado tiene decimales, utilliza un punto para separar la parte decimal.

Anota solo el número con el resultado final. No es necesario que escribas las unidades.

]]> Recuerda que para pasar la velocidad de m/s a km/h debes multiplicar por 3600 y dividir por 1000.

]]> 1.0000000 0.3333333 0 0 #sol Muy bien.

]]> #sol2 Incorrecto. ¿Estás seguro/a de que has operado correctamente?

#grafica

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #crecimiento

]]> Muy bien.

]]> #crecimiento2

]]> Incorrecto.

Gráfica

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #sol1 m/s

]]> Muy bien.

]]> #sol2 m/s

]]> Incorrecto.

]]> #sol3 m/s

]]> Incorrecto.

]]> #sol4 m/s

]]> Incorrecto.

]]> #sol5 m/s

]]> Incorrecto.

]]> <question><wirisCasSession><![CDATA[<session lang="es" 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>tramo</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mi>AB</mi><mo>,</mo><mi>BC</mi><mo>,</mo><mi>CD</mi><mo>,</mo><mi>DE</mi><mo>,</mo><mi>EF</mi><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">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>AB</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>BC</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>CD</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mn>2</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>DE</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>3</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mo>-</mo><mn>1</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mn>3</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>tramo</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>DE</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>0</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>3</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"><mo>-</mo><mn>0.5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol4</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0.5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol5</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>1</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">2</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="casSession"></data></localData></question> CTII B09 T02 19 Crecimiento función Indica si la función representada en la gráfica es...

#grafica

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #crecimiento

]]> Muy bien.

]]> #crecimiento2

]]> Incorrecto.

Gráfica

]]> 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 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #sol1 m/s

]]> Muy bien.

]]> #sol2 m/s

]]> Incorrecto.

]]> #sol3 m/s

]]> Incorrecto.

]]> #sol4 m/s

]]> Incorrecto.

]]> #sol5 m/s

]]> Incorrecto.

]]> <question><wirisCasSession><![CDATA[<session lang="es" 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>tramo</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mi>AB</mi><mo>,</mo><mi>CD</mi><mo>,</mo><mi>EF</mi><mo>,</mo><mi>GH</mi><mo>,</mo><mi>IJ</mi><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">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>AB</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mo>-</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>4</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>CD</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mo>-</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>4</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>EF</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mo>-</mo><mn>4</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>2</mn></mtd></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>tramo</mi><mo>=</mo><mi>GH</mi></mrow><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mo>-</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mo>-</mo><mn>4</mn></mtd></mtr></mtable><mtable><mtr><mtd><mi>sol1</mi><mo>=</mo><mo>-</mo><mn>4</mn></mtd></mtr><mtr><mtd><mi>sol2</mi><mo>=</mo><mo>-</mo><mn>2</mn></mtd></mtr><mtr><mtd><mi>sol3</mi><mo>=</mo><mn>0</mn></mtd></mtr><mtr><mtd><mi>sol4</mi><mo>=</mo><mn>5</mn></mtd></mtr><mtr><mtd><mi>sol5</mi><mo>=</mo><mn>2</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>tramo</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>GH</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"><mo>-</mo><mn>2</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>5</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>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol4</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>sol5</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>4</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">2</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="casSession"></data></localData></question> CTII B09 T03 MRU ecuación cálculo e Un tren se mueve con una velocidad constante de #v m/s a lo largo de una recta. Inicialmente el tren se encuentra a #eo metros del origen del sistema de referencia.

¿En qué posición se encontrará al cabo de #t segundos?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #e1

]]> Muy bien.

]]> #e2

]]> Incorrecto. No has sustituido correctamente los datos en la ecuación.

]]> #e3

]]> Incorrecto. No has sustituido correctamente los datos en la ecuación.

¿Cuál era su posición inicial?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #eo metros

]]> Muy bien.

]]> #eo2 metros

]]> Incorrecto. No has despejado correctamente.

]]> #eo3 metros

]]> Incorrecto. No has despejado correctamente.

¿Cuándo se encontrará a #e1 metros del origen del sistema de referencia?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #t1 segundos

]]> Muy bien.

]]> #t2 segundos

]]> Incorrecto. No has despejado correctamente.

]]> #t3 segundos

]]> Incorrecto. No has despejado correctamente.

¿Cuál es la velocidad de coche?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #v

]]> Muy bien.

]]> #v2

]]> Incorrecto. No has despejado correctamente.

]]> #v3

]]> Incorrecto. No has despejado correctamente.

#grafica

Indica:

¿Cuál es su posición inicial en metros? {#1}
¿Cuál es su rapidez en metros por segundo? {#2}
¿Cuál es su posición al cabo de #t2 segundos? {#3}

]]> 6.0000000 0.3333333 0 <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>m</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mo>-</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>,</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>}</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>.</mo><mo>.</mo><mn>5</mn><mo>)</mo></mtd></mtr></mtable><mrow><mi>m</mi><mo>≠</mo><mn>0</mn></mrow></apply></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>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>m</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>x</mi><mo>+</mo><mi>n</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>35</mn><mo>,</mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>2</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>atributos</mi><mfenced><mrow><mi>tablero1</mi><mo>,</mo><mfenced close="}" open="{"><mrow><mi>centro</mi><mo>=</mo><mi>punto</mi><mfenced><mrow><mn>15</mn><mo>,</mo><mn>0</mn></mrow></mfenced><mo>,</mo><mi>anchura</mi><mo>=</mo><mn>35</mn><mo>.</mo><mn>0</mn><mo>,</mo><mi>altura</mi><mo>=</mo><mn>35</mn><mo>.</mo><mn>0</mn><mo>,</mo><mi>anchura_ventana</mi><mo>=</mo><mn>523</mn><mo>,</mo><mi>altura_ventana</mi><mo>=</mo><mn>523</mn></mrow></mfenced></mrow></mfenced></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>OK</mtext></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>2.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</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>t2</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>4</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>5</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>6</mn><mo>.</mo><mn>0</mn><mo>}</mo></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>e2</mi><mo>=</mo><mi>m</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>t2</mi><mo>+</mo><mi>n</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>14.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>4</mn><mo>,</mo><mn>17</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>4</mn><mo>,</mo><mn>17</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B</mi><mo>=</mo><mo>(</mo><mn>28</mn><mo>,</mo><mo>-</mo><mn>2</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>28</mn><mo>,</mo><mo>-</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mo>=</mo><mo>(</mo><mi>t2</mi><mo>,</mo><mi>e2</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5.</mn><mo>,</mo><mn>14.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mi>A</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>visible</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>etiqueta</mi><mo>=</mo><mi>e</mi><mo>(</mo><mi>metros</mi><mo>)</mo><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mi>B</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>visible</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>mostrar_etiqueta</mi><mo>=</mo><mi>cierto</mi><mo>,</mo><mo> </mo><mi>etiqueta</mi><mo>=</mo><mi>t</mi><mo>(</mo><mi>segundos</mi><mo>)</mo><mo>,</mo><mo> </mo><mi>tamaño_punto</mi><mo>=</mo><mn>1</mn><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mi>C</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>grosor_punto</mi><mo>=</mo><mn>5</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">4</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="inputField">textField</data><data name="casSession"></data></localData></question> CTII B09 T03 MRU gráfica y ecuación En la siguiente gráfica se ha representado la posición de un objeto que se mueve en línea recta y con rapidez constante frente al tiempo. La posición se mide en metros y el tiempo en segundo.

#grafica

Indica cuál es la ecuación del movimiento:

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> e=#n+#m·t

]]> Muy bien.

]]> e=#m+#n·t

]]> Ojo que has confundido los valores de la velocidad y la posición inicial.

]]> e=#n+#m2·t

]]> Incorrecto. Te has confundido en el signo de la velocidad.

]]> e=#n2+#m·t

]]> Incorrecto. Te has confundido en el signo de la posición inicial.

#grafica

Completa la siguiente tabla de posiciones:

Tiempo (s)	0	1	2	3	4	5	6	7	8	9	10
Posición (m)	#n	{#1}	{#2}	{#3}	{#4}	{#5}	{#6}	{#7}	{#8}	{#9}	{#10}

]]> 55.0000000 0.3333333 0 <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>m</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mo>-</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>,</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>}</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>.</mo><mo>.</mo><mn>5</mn><mo>)</mo></mtd></mtr></mtable><mrow><mi>m</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>5</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>m</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>x</mi><mo>+</mo><mi>n</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>35</mn><mo>,</mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>2</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>atributos</mi><mfenced><mrow><mi>tablero1</mi><mo>,</mo><mfenced close="}" 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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>e1</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>6.</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></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>7.</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>7.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e3</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>3</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</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>e3</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>e4</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>9.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e4</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>9.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e5</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>5</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>10.</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>10.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e6</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>6</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>11.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e6</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>11.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e7</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>7</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</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>e7</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>e8</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>8</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>13.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e8</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>13.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e9</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>9</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>14.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e9</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>14.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e10</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>10</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</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>e10</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>15.</mn></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">4</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="inputField">textField</data><data name="casSession"></data></localData></question> CTII B09 T03 MRUA ecuación cálculo a Un coche se mueve con una aceleración constante a lo largo de una recta. Inicialmente el coche se mueve a #vo metros por segundo. Cuando pasan #t segundos la velocidad es #v1 metros por segundo.

¿Cuál es la aceleración del coche?

]]> 1.0000000 0.3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #a m/s²

]]> Muy bien.

]]> #a2 m/s2

]]> Incorrecto. No has despejado correctamente.

]]> #a3 m/s2

]]> Incorrecto. No has despejado correctamente.

#grafica

Indica:

¿Cuál es su velocidad inicial en metros? {#1}
¿Cuál es su aceleración en metros por segundo al cuadrado? {#2}
¿Cuál es su velocidad al cabo de #t2 segundos? {#3}

]]> 6.0000000 0.3333333 0 <question><wirisCasSession><![CDATA[<session lang="es" version="2.0"><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>m</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mo>-</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mo>-</mo><mn>1</mn><mo>,</mo><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>}</mo></mtd></mtr><mtr><mtd><mi>n</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mo>-</mo><mn>5</mn><mo>.</mo><mo>.</mo><mn>5</mn><mo>)</mo></mtd></mtr></mtable><mrow><mi>m</mi><mo>≠</mo><mn>0</mn></mrow></apply></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>m</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>x</mi><mo>+</mo><mi>n</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>0</mn><mo>,</mo><mn>35</mn><mo>,</mo><mo>{</mo><mi>anchura_línea</mi><mo>=</mo><mn>2</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>rojo</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>atributos</mi><mfenced><mrow><mi>tablero1</mi><mo>,</mo><mfenced close="}" open="{"><mrow><mi>centro</mi><mo>=</mo><mi>punto</mi><mfenced><mrow><mn>14</mn><mo>,</mo><mn>0</mn></mrow></mfenced><mo>,</mo><mi>anchura</mi><mo>=</mo><mn>35</mn><mo>.</mo><mn>0</mn><mo>,</mo><mi>altura</mi><mo>=</mo><mn>35</mn><mo>.</mo><mn>0</mn><mo>,</mo><mi>anchura_ventana</mi><mo>=</mo><mn>523</mn><mo>,</mo><mi>altura_ventana</mi><mo>=</mo><mn>523</mn><mo>,</mo><mo> </mo><mi>etiqueta_de_ejes</mi><mo>=</mo><mo>{</mo><mi>t</mi><mo>(</mo><mi>seg</mi><mo>)</mo><mo>,</mo><mi>v</mi><mo>(</mo><mi>metros</mi><mo>/</mo><mi>s</mi><mo>)</mo><mo>}</mo><mo>,</mo><mo> </mo><mi>color_ejes</mi><mo>=</mo><mi>azul</mi></mrow></mfenced></mrow></mfenced></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>OK</mtext></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>1.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>1</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>t2</mi><mo>=</mo><mi>aleatorio</mi><mo>{</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>4</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>5</mn><mo>.</mo><mn>0</mn><mo>,</mo><mn>5</mn><mo>.</mo><mn>5</mn><mo>,</mo><mn>6</mn><mo>.</mo><mn>0</mn><mo>}</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e2</mi><mo>=</mo><mi>m</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>*</mo><mi>t2</mi><mo>+</mo><mi>n</mi><mo>*</mo><mn>1</mn><mo>.</mo><mn>0</mn></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>A</mi><mo>=</mo><mo>(</mo><mo>-</mo><mn>4</mn><mo>,</mo><mn>17</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>4</mn><mo>,</mo><mn>17</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B</mi><mo>=</mo><mo>(</mo><mn>28</mn><mo>,</mo><mo>-</mo><mn>2</mn><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>28</mn><mo>,</mo><mo>-</mo><mn>2</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mo>=</mo><mo>(</mo><mi>t2</mi><mo>,</mo><mi>e2</mi><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6.</mn><mo>,</mo><mn>5.</mn></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>grafica</mi><mo>=</mo><mi>dibujar2d</mi><mo>(</mo><mi>punto</mi><mo>(</mo><mi>C</mi><mo>)</mo><mo>,</mo><mo>{</mo><mi>grosor_punto</mi><mo>=</mo><mn>5</mn><mo>,</mo><mo> </mo><mi>color</mi><mo>=</mo><mi>azul</mi><mo>}</mo><mo>)</mo></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>tablero1</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">4</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="inputField">textField</data><data name="casSession"></data></localData></question> CTII B09 T03 MRUA Tabla e a partir de ecuación Un movimiento rectilíneo uniforme acelerado tiene la siguiente ecuación de posición:

e=#n+#m·t

donde las posiciones se miden en metros y el tiempo en segundos.

Completa la siguiente tabla de posiciones:

Tiempo (s)	0	1	2	3	4	5	6	7	8	9	10
Posición (m)	#n	{#1}	{#2}	{#3}	{#4}	{#5}	{#6}	{#7}	{#8}	{#9}	{#10}

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xmlns="http://www.w3.org/1998/Math/MathML"><mi>e4</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e4</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>4.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e5</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>5</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>5.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></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"><mn>5.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e6</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>6</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e6</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e7</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>7</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e7</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e8</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>8</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e8</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>8.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e9</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>9</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>9.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e9</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>9.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e10</mi><mo>=</mo><mi>m</mi><mo>·</mo><mn>10</mn><mo>.</mo><mn>0</mn><mo>+</mo><mi>n</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>10.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>e10</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>10.</mn><mo>*</mo><mi>m</mi><mo>+</mo><mi>n</mi></math></output></command></group><group><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"/></input></command></group></session>]]></wirisCasSession><assertions><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">true</option><option name="precision">4</option><option name="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option><option name="answer_parameter">true</option></options><localData><data name="inputField">textField</data><data name="casSession"></data></localData></question>