2. Manipulación algebraica Alg. C2. S01. a. LS. Valorizar (lenguaje natural): índice contextura corporal Para calcular el índice de contextura corporal «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced»«mrow»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«/mrow»«/mfenced»«/math» de una persona, se utiliza la siguiente fórmula:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»=«/mo»«mfrac»«mi»h«/mi»«mi»m«/mi»«/mfrac»«/math»

donde «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»h«/mi»«/math» es la altura de la persona y «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»m«/mi»«/math» es la magnitud de la circunferencia de su muñeca, ambas medidas en centímetros.

A partir de este cálculo se determina la contextura corporal, la cual se clasifica, según la siguiente tabla:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mtable columnalign=¨left center center¨ rowlines=¨solid solid solid none¨ columnlines=¨solid solid none¨»«mtr»«mtd»«mtext mathvariant=¨bold¨»Contextura«/mtext»«/mtd»«mtd»«mtext mathvariant=¨bold¨»Hombres«/mtext»«/mtd»«mtd»«mtext mathvariant=¨bold¨»Mujeres«/mtext»«/mtd»«/mtr»«mtr»«mtd»«mtext mathvariant=¨bold¨»Peque§#241;a«/mtext»«/mtd»«mtd»«mtext»mayor§#160;a§#160;10.4«/mtext»«/mtd»«mtd»«mtext»mayor§#160;a§#160;11«/mtext»«/mtd»«/mtr»«mtr»«mtd»«mi mathvariant=¨bold¨»M«/mi»«mi mathvariant=¨bold¨»e«/mi»«mi mathvariant=¨bold¨»d«/mi»«mi mathvariant=¨bold¨»i«/mi»«mi mathvariant=¨bold¨»a«/mi»«mi mathvariant=¨bold¨»n«/mi»«mi mathvariant=¨bold¨»a«/mi»«/mtd»«mtd»«mtext»entre§#160;9.6§#160;y§#160;10.4«/mtext»«/mtd»«mtd»«mtext»entre§#160;10.1§#160;y§#160;11«/mtext»«/mtd»«/mtr»«mtr»«mtd»«mi mathvariant=¨bold¨»G«/mi»«mi mathvariant=¨bold¨»r«/mi»«mi mathvariant=¨bold¨»a«/mi»«mi mathvariant=¨bold¨»n«/mi»«mi mathvariant=¨bold¨»d«/mi»«mi mathvariant=¨bold¨»e«/mi»«/mtd»«mtd»«mtext»menor§#160;a§#160;9.6«/mtext»«/mtd»«mtd»«mtext»menor§#160;a§#160;10.1«/mtext»«/mtd»«/mtr»«/mtable»«/math»

De acuerdo a la información, la contextura corporal de #s que mide #a «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»c«/mi»«mi»m«/mi»«/math». de altura, si la medida de la circunferencia de su muñeca es de #c «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»c«/mi»«mi»m«/mi»«/math». sería:

]]> 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 Al reemplazar los datos de #s que mide #a «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»c«/mi»«mi»m«/mi»«/math». de altura , y el valor de la medida de la circunferencia de su muñeca que es de #c «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»c«/mi»«mi»m«/mi»«/math». en la fórmula de Índice de Contextura Corporal «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo»(«/mo»«mo»§#160;«/mo»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»§#8201;«/mo»«mo»)«/mo»«/math», se tiene que:

«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»=«/mo»«mfrac»«mi»h«/mi»«mi»m«/mi»«/mfrac»«mspace linebreak=¨newline¨/»«mspace linebreak=¨newline¨/»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»=«/mo»«mfrac»«mrow»«mo»#«/mo»«mi»a«/mi»«mo»§#160;«/mo»«mi»c«/mi»«mi»m«/mi»«/mrow»«mrow»«mo»#«/mo»«mi»c«/mi»«mo»§#160;«/mo»«mi»c«/mi»«mi»m«/mi»«/mrow»«/mfrac»«mspace linebreak=¨newline¨/»«mspace linebreak=¨newline¨/»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»=«/mo»«mo»#«/mo»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«/math»

Entonces, si su resultado es «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»I«/mi»«mi»C«/mi»«mi»C«/mi»«mo»=«/mo»«/math» #ICC, se concluye que su contextura corporal corresponde al rango #t

Reporta y/o califica esta pregunta:

1. Copia este código: Alg. C2. S01. a. LS-MV

2. Presiona este enlace, pega el código y completa el formulario

]]> 1 .3333333 0 true true abc Respuesta correcta

]]> Respuesta parcialmente correcta.

]]> Respuesta incorrecta.

]]> #t

]]>

¡¡Muy bien!!

]]> #l

]]>

Al parecer cometiste un error, revisa tu desarrollo y consulta a tu profesor si aún te quedan dudas.

]]> #r

]]>

Al parecer cometiste un error, revisa tu desarrollo y consulta a tu profesor si aún te quedan dudas.

]]> Falta información

]]>

Al parecer cometiste un error, revisa tu desarrollo y consulta a tu profesor si aún te quedan dudas.

]]> <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>a</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mn>150</mn><mo>,</mo><mn>190</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>c</mi><mo>=</mo><mi>aleatorio</mi><mo>(</mo><mn>15</mn><mo>,</mo><mn>28</mn><mo>)</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>s</mi><mo>=</mo><mi>aleatorio</mi><mo>[</mo><mo>"</mo><mi>una</mi><mo> </mo><mi>mujer</mi><mo>"</mo><mo>,</mo><mo>"</mo><mo> </mo><mi>un</mi><mo> </mo><mi>hombre</mi><mo>"</mo><mo>]</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>ICC</mi><mo>=</mo><mfrac><mi>a</mi><mi>c</mi></mfrac><mo>+</mo><mn>0</mn><mo>.</mo></math></input></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>Sol</mi><mo> </mo><mo>=</mo><mi>ICC</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>s</mi><mo>=</mo><mo>"</mo><mi>una</mi><mo> </mo><mi>mujer</mi><mo>"</mo></mrow><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>ICC</mi><mo>></mo><mn>11</mn></mrow><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd/></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mn>10</mn><mo>.</mo><mn>1</mn><mo>⩽</mo><mi>ICC</mi><mo>∧</mo><mi>ICC</mi><mo>⩽</mo><mn>11</mn></mrow><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo></mtd></mtr><mtr><mtd/></mtr></mtable></apply></apply><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>ICC</mi><mo>></mo><mn>10</mn><mo>.</mo><mn>4</mn></mrow><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd/></mtr><mtr><mtd/></mtr></mtable><apply><csymbol definitionURL="http://www.wiris.com/XML/csymbol">if</csymbol><mrow><mi>ICC</mi><mo>⩾</mo><mn>9</mn><mo>.</mo><mn>6</mn><mo>∧</mo><mi>ICC</mi><mo>⩽</mo><mn>10</mn><mo>.</mo><mn>4</mn></mrow><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd/></mtr></mtable><mtable><mtr><mtd><mi>t</mi><mo>=</mo><mo>"</mo><mi>Grande</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>l</mi><mo>=</mo><mo>"</mo><mi>Mediana</mi><mo>"</mo></mtd></mtr><mtr><mtd><mi>r</mi><mo>=</mo><mo>"</mo><mi>Pequeña</mi><mo>"</mo><mo> </mo></mtd></mtr><mtr><mtd/></mtr></mtable></apply></apply></apply></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>161</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>21</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"><ms>una</ms><mo> </mo><ms>mujer</ms></math></output></command><command><input><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>ICC</mi></math></input><output><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>7.6667</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"><ms>una</ms><mo> </mo><ms>mujer</ms></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"><ms>Grande</ms></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="times_operator">·</option><option name="implicit_times_operator">false</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>