<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 1396 -->
 <question type="category"><category><text>c. Mat-Prevención La Serena</text></category></question>
 
 <!-- resourceid-resourcedataid: 16021-13124 -->
 <question type="shortanswerwiris">
    <name>
      <text>PREV. MA. S05. c. Evaluar una expresión algebraica.  Indemnizaciones</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #000000; font-size: medium;">Las indemnizaciones que debe recibir un trabajador accidentado o enfermo profesional, está regulado por el Decreto Supremo N° 109  donde se indica la cantidad de veces del sueldo base que corresponde como  indemnización, como se muestra en la tabla adjunta:</span></p>
<p> </p>
<p> </p>
<p style="text-align: center;"><span style="font-family: arial,helvetica,sans-serif; color: #ff0000;"><strong><img src="@@PLUGINFILE@@/Captura_de_pantalla_2015-10-16_a_las_10.03.02.png" height="204" width="434" /><br /></strong></span></p>
<p> </p>
<p> </p>
<p><span style="color: #000000; font-size: medium;">Si un trabajador accidentado se le asigna una incapacidad de ganancia de #a %. Determine el monto de indemnización si el sueldo base del trabajador es $ #b.</span></p>
<p> </p>
<p> </p>
<p><span style="font-size: medium;"><strong><span style="color: #ff0000;">obs.: - Ingresa tu respuesta sin unidades ( ejemplo:  si la respuesta es  $ 150000  debes ingresar 150000 )</span></strong></span></p>]]></text>
<file name="Captura_de_pantalla_2015-10-16_a_las_10.03.02.png" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p> </p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Según el enunciado la incapacidad del trabajador es del  #a %   y  el sueldo base es de  $ #b.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Si observas en la tabla el monto de la indemnización que le corresponde al   #a %  corresponde a   #c  veces el sueldo base.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Por lo tanto para calcular la indemnización que le corresponde al trabajador se calcula como:</span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></p>
<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></p>
<div style="text-align: center;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mrow»«mi»I«/mi»«mi»N«/mi»«mi»D«/mi»«mi»E«/mi»«mi»M«/mi»«mi»N«/mi»«mi»I«/mi»«mi»Z«/mi»«mi»A«/mi»«mi»C«/mi»«mi»I«/mi»«mi»O«/mi»«mi»N«/mi»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mi»M«/mi»«mi»O«/mi»«mi»N«/mi»«mi»T«/mi»«mi»O«/mi»«mo»§#160;«/mo»«mi»I«/mi»«mi»N«/mi»«mi»D«/mi»«mi»E«/mi»«mi»M«/mi»«mi»N«/mi»«mi»I«/mi»«mi»Z«/mi»«mi»A«/mi»«mi»C«/mi»«mi»I«/mi»«mi»O«/mi»«mi»N«/mi»«mo»§#160;«/mo»«mo»§#183;«/mo»«mi»S«/mi»«mi»U«/mi»«mi»E«/mi»«mi»L«/mi»«mi»D«/mi»«mi»O«/mi»«mo»§#160;«/mo»«mi»B«/mi»«mi»A«/mi»«mi»S«/mi»«mi»E«/mi»«/mrow»«/mstyle»«/math»</span><br /><br /></div>
<div style="text-align: center;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></div>
<div style="text-align: center;"><br />
<div style="text-align: left;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">es decir:</span></div>
<div style="text-align: left;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></div>
<div style="text-align: left;"><br />
<div style="text-align: center;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mi»I«/mi»«mi»N«/mi»«mi»D«/mi»«mi»E«/mi»«mi»M«/mi»«mi»N«/mi»«mi»I«/mi»«mi»Z«/mi»«mi»A«/mi»«mi»C«/mi»«mi»I«/mi»«mi»O«/mi»«mi»N«/mi»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»c«/mi»«mo»§#160;«/mo»«mo»§#183;«/mo»«mo»#«/mo»«mi»b«/mi»«mspace linebreak=¨newline¨/»«mspace linebreak=¨newline¨/»«mspace linebreak=¨newline¨/»«mi»I«/mi»«mi»N«/mi»«mi»D«/mi»«mi»E«/mi»«mi»M«/mi»«mi»N«/mi»«mi»I«/mi»«mi»Z«/mi»«mi»A«/mi»«mi»C«/mi»«mi»I«/mi»«mi»O«/mi»«mi»N«/mi»«mo»§#160;«/mo»«mo»=«/mo»«mo»#«/mo»«mi»s«/mi»«mi»o«/mi»«mi»l«/mi»«/mstyle»«/math»</span></div>
<div style="text-align: center;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></div>
</div>
<div style="text-align: center;"><br /><br /><br />
<div style="text-align: left;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Luego, el trabajador debe recibir una indemnización de   «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo»$«/mo»«mo»§#160;«/mo»«mo»§#160;«/mo»«mo»#«/mo»«mi»s«/mi»«mi»o«/mi»«mi»l«/mi»«/math»</span></div>
<div style="text-align: left;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></div>
<div style="text-align: left;"><span style="font-family: arial, helvetica, sans-serif; font-size: medium;"> </span></div>
</div>
</div>]]></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text><![CDATA[<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Muy Bien</span></p>]]></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>*</mo></math>]]></text>
      <feedback format="html">
        <text><![CDATA[<p><span style="font-family: arial, helvetica, sans-serif; font-size: medium;">Al parecer cometiste un error, revisa tu desarrollo si aún tienes dudas consulta a tu profesor.</span></p>]]></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="es" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;aux&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatorio&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&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="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aux&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;5&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatorio&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1250&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;aux&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;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&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="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;techo&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;sol&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 xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;aux&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;20.&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;4.5&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;689000&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;3.1005&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;3100500&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="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;correctAnswer id="1" type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;assertion name="syntax_expression" correctAnswer="1"/&gt;&lt;assertion name="equivalent_all" correctAnswer="1"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 </quiz>
