<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 1754 -->
 <question type="category"><category><text>1rBTX 07. PROBABILITAT/1.7.1 Recomptes</text></category></question>
 
 <!-- resourceid-resourcedataid: 19226-15977 -->
 <question type="shortanswerwiris">
    <name>
      <text>1.7.1.13Q  V  Equip de rugbi</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">Un entrenador de rugby disposa de #n jugadors per formar un equip de 15. </span></p>
<p><span style="font-weight: bold; color: #0000ff;"><span style="color: #003300;">De quantes maneres ho pot fer?</span> </span></p>
<div align="justify">  </div>
<div align="justify"><span style="font-weight: bold; color: #ff6600;"><em><span style="font-weight: bold;"><span style="font-weight: bold;">Format:</span> </span></em></span>notació científica (als deu mil·lèsims)</div>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #339900;">És una variació sense repetició. V<sub>n,p</sub><br /></span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>71</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" 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;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&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;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;15&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;r_71&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;10000&lt;/mn&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;V&lt;/csymbol&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/apply&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;10000&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&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;mo&gt;(&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;28&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&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;r_71&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;4.8962&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;/msup&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 type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;71&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_quantity"&gt;&lt;param name="units"&gt;&lt;![CDATA[m, s, g, °, ', ", sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, Ω, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat]]&gt;&lt;/param&gt;&lt;param name="unitprefixes"&gt;M, k, c, m&lt;/param&gt;&lt;param name="groupoperators"&gt;(,[,{&lt;/param&gt;&lt;/assertion&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;assertion name="check_scientific_notation"/&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;5&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;textField&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>
