<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 772 -->
 <question type="category"><category><text>Trigonometría</text></category></question>
 
 <!-- resourceid-resourcedataid: 6953-6348 -->
 <question type="shortanswerwiris">
    <name>
      <text>5 - Trigonometría - F - Alcance jugador tenis</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><img src="@@PLUGINFILE@@/cancha.png" width="176" height="325" /></p>
<p>Una cancha de tenis mide 11,885 [m] desde la línea de fondo hasta la malla (o red). La pequeña Lily, a su corta edad, solo es capaz de golpear la pelota de manera que esta alcance una distancia máxima de #d [m] hasta el primer bote. Lily se encuentra ubicada al centro de la línea de fondo y desea pasar la pelota hasta el otro lado de la cancha, pero tampoco está muy segura de poder lanzarla derecho hacia el frente. Si el entrenador de Lily tiene la deferencia de quitar la malla, ¿cuál es el ángulo máximo en el que pueden desviarse lateralmente los tiros de Lily de manera que le sea posible pasar la línea de la media cancha?</p>
<p> </p>]]></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
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        <text></text>
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    <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;d&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;12000&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;13000&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;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arccos&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;885&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;d&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;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&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>
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