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 <question type="category"><category><text>4t ESO/4.01 NOMBRES/4.01.1 Els nombres racionals</text></category></question>
 
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      <text>4.01.1.10  TEORIA: Naturals, enter i racionals</text>
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<td style="color: #ff6600; vertical-align: top; border-style: none; text-align: center; background-image: none; background-color: #000066;" colspan="2" valign="top" width="50%"><span style="font-size: medium; color: #ffff99;" data-mce-mark="1">Nombres naturals</span></td>
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<div style="text-align: center; font-weight: bold;"><span style="color: #000080;" data-mce-mark="1">Serveixen per comptar quantitats positives.</span></div>
<div style="text-align: center; font-weight: bold;"><span style="color: #000080;" data-mce-mark="1">El conjunt dels naturals s'escriu  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8469;«/mi»«/math» </span></div>
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<div style="text-align: center;"><span style="font-size: medium; color: #ffff99;" data-mce-mark="1">Nombres enters</span></div>
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<div style="text-align: justify;"><span style="color: #000080;">Els fem servir per expressar quantitats enteres positives (&gt;0) o negatives (&lt;0).</span></div>
<span style="color: #000080;">El conjunt dels enters s'escriu «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8484;«/mi»«/math» = {,-4,-3,-2,-1,0,1,2,3,...}</span></td>
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<div style="text-align: center;"><span style="color: #ffff99; font-size: medium;" data-mce-mark="1">Nombres racionals</span></div>
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<div><span style="color: #000080;" data-mce-mark="1">Són els nombres enters i les fraccions de nombres enters.</span></div>
<div><span style="color: #000080;" data-mce-mark="1">El conjunt dels racionals s'escriu </span>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8474;«/mi»«/math»</div>
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    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
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    <name>
      <text>4.01.1.100 Calculadora naturals</text>
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<td style="background-color: #000099;" colspan="2" align="center"><span style="font-size: large; color: #ffff99;">Calculadora amb naturals</span></td>
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<p style="text-align: justify;"><span style="font-size: small; color: #008000;" data-mce-mark="1"><strong>Les tecles verdes corresponen a les 4 operacions.</strong></span></p>
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<p style="text-align: justify;"><span style="font-size: small; color: #ffcc00;" data-mce-mark="1"><strong>Ans: permet operar amb el resultat anterior.</strong></span></p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong>Les potències es fan amb les tecles <span style="color: #ff0000;" data-mce-mark="1">x<sup>2</sup></span>, <span style="color: #ff0000;" data-mce-mark="1"> x<sup>3</sup></span>  i <span style="color: #ff0000;" data-mce-mark="1">^</span><sup> </sup>:</strong></span></p>
<p style="text-align: justify;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong>3 <span style="color: #ff0000;" data-mce-mark="1">x<sup>2</sup></span> dona 9;    3 <span style="color: #ff0000;" data-mce-mark="1">x<sup>3</sup></span> dona 27; i 3 <span style="color: #ff0000;" data-mce-mark="1">^</span>5 dona 243. </strong></span></p>
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<p style="text-align: justify;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong>Els parèntesis permeten combinar operacions i fer-les d'un sol cop:</strong></span></p>
<p style="text-align: justify;"><span style="font-size: medium; color: #000080;" data-mce-mark="1"><strong><span style="color: #ff0000;">(</span>13<span style="color: #008000;">+</span>15<span style="color: #ff0000;">)^</span>2<span style="color: #008000;">–</span><span style="color: #ff0000;">((</span>16<span style="color: #008000;">–</span>8<span style="color: #ff0000;">)<span style="color: #008000;">÷</span></span>4<span style="color: #ff0000;">)</span></strong></span></p>
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 <!-- resourceid-resourcedataid: 10686-8073 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.101 Jerarquia: pràctica 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calcula el resultat de les operacions següents:<br />#a_1 · #a_2 + #a_3 · #a_4 <br /><br /></span><span style="font-weight: bold; color: #0000ff;">Resultat: {#1}</span><br /><span style="font-weight: bold; color: #0000ff;"><br /></span><span style="font-weight: bold; color: #0000ff;"><br /><br /><br /></span></p>]]></text>
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    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
    </wirissubquestions>
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definitionURL=&amp;quot;http://www.wiris.com/XML/csymbol&amp;quot;&amp;gt;repeat&amp;lt;/csymbol&amp;gt;&amp;lt;mtable&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;6&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_6&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a_7&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd/&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;/mtable&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mfenced&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;mo&amp;gt;&amp;amp;gt;&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_3&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/apply&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt; &amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_4&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_4&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong>Escriu, tal qual, les operacions a la calculadora, fent servir les tecles d'operacions <span style="color: #008000;">+, -, x, ÷</span></strong></p>
<p><strong>#a_1 <span style="color: #008000;" data-mce-mark="1">x</span> #a_2 <span style="color: #008000;" data-mce-mark="1">+</span> #a_3 <span style="color: #008000;" data-mce-mark="1">x</span> #a_4</strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10687-8074 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.102 Jerarquia: pràctica 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calcula el resultat de les operacions següents:<br />#a_1<sup>2</sup> · #a_2 – #a_3 · #a_4<sup>3</sup> <br /><br /></span><span style="font-weight: bold; color: #0000ff;">Resultat: {#1}</span><br /><span style="font-weight: bold; color: #0000ff;"><br /></span><span style="font-weight: bold; color: #0000ff;"><br /><br /><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_1&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_2&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_3&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_4&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_5&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_6&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_7&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;msup&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/apply&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_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;msup&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&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;r_1&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;2812&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;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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong>Escriu les operacions a la calculadora, fent servir les tecles d'operacions <span style="color: #008000;">+, –, x, ÷</span> i les de quadrat i cub <span style="color: #ff0000;">x<sup>2</sup><span style="color: #000000;">,</span> x<sup>3</sup></span></strong></p>
<p><strong>#a_1 <span style="color: #ff0000;" data-mce-mark="1">x<sup>2</sup></span> <span style="color: #008000;" data-mce-mark="1">x</span> #a_2 <span style="color: #008000;" data-mce-mark="1">–</span> #a_3 <span style="color: #008000;" data-mce-mark="1">x</span> #a_4 <span style="color: #ff0000;" data-mce-mark="1">x<sup>3</sup></span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10688-8075 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.103 Jerarquia parèntesis: pràctica 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calcula el resultat de les operacions següents:<br />#a_1 · (#a_2 – #a_3) + #a_4 · (#a_5 + #a_6) <br /><br /></span><span style="font-weight: bold; color: #0000ff;">Resultat: {#1}</span><br /><span style="font-weight: bold; color: #0000ff;"><br /></span><span style="font-weight: bold; color: #0000ff;"><br /><br /><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_1&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_2&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_3&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_4&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_5&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_6&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_7&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_6&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&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_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_6&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;r_1&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;686&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;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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000000;">S'escriu amb la calculadora, fent servir els signes de les operacions <span style="color: #008000;">+, –, ×, ÷</span>  i els parèntesis <span style="color: #ff0000;">( )</span>.</span></strong></p>
<p><span style="font-size: medium;"><strong>#a_1 <span style="color: #008000;">×</span> <span style="color: #ff0000;">(</span>#a_2 <span style="color: #008000;">–</span> #a_3<span style="color: #ff0000;">)</span> <span style="color: #008000;">+</span> #a_4 <span style="color: #008000;">×</span><span style="color: #ff0000;"> (</span>#a_5 <span style="color: #008000;">+</span> #a_6<span style="color: #ff0000;">)</span> </strong></span></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10689-8076 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.104 Jerarquia parèntesis: pràctica 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calcula el resultat de les operacions següents:<br />#a_1 · (#a_2<sup>2</sup> – #a_3) + #a_4 · (#a_5<sup>2</sup> + #a_6 + #a_7) <br /><br /></span><span style="font-weight: bold; color: #0000ff;">Resultat: {#1}</span><br /><span style="font-weight: bold; color: #0000ff;"><br /></span><span style="font-weight: bold; color: #0000ff;"><br /><br /><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_1&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_2&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_3&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_4&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_5&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_6&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_7&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;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_6&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_7&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&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_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_6&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a_7&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;r_1&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;23536&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;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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="font-size: medium;" data-mce-mark="1">S'escriu amb la calculadora, fent servir els signes de les operacions <span style="font-size: medium; color: #008000;" data-mce-mark="1">+, –, ×, ÷</span>  i la potència <span style="color: #ff0000;"><span style="font-size: medium;" data-mce-mark="1">x<sup>2</sup></span> </span>els parèntesis <span style="font-size: medium; color: #ff0000;" data-mce-mark="1">( )</span>.</span></strong></p>
<p><span style="font-size: medium;" data-mce-mark="1"><strong>#a_1 <span style="color: #008000;" data-mce-mark="1">×</span> <span style="color: #ff0000;" data-mce-mark="1">(</span>#a_2 <span style="color: #ff0000;" data-mce-mark="1">x<sup>2</sup></span> <span style="color: #008000;" data-mce-mark="1">–</span> #a_3<span style="color: #ff0000;" data-mce-mark="1">)</span> <span style="color: #008000;" data-mce-mark="1">+</span> #a_4 <span style="color: #008000;" data-mce-mark="1">×</span><span style="color: #ff0000;" data-mce-mark="1"> (</span>#a_5 <span style="color: #ff0000;" data-mce-mark="1">x<sup>2</sup></span> <span style="color: #008000;" data-mce-mark="1">+</span> #a_6<span style="color: #008000;" data-mce-mark="1">+</span>#a_7<span style="color: #ff0000;" data-mce-mark="1">)</span> </strong></span></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10690-8078 -->
 <question type="description">
    <name>
      <text>4.01.1.110 Calculadora enters</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<table style="border: 4px solid #000099; height: 463px; width: 428px; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="background-color: #000099;" colspan="2" align="center"><span style="font-size: large; color: #ffff99;">Calculadora amb enters</span></td>
</tr>
<tr>
<td><img src="@@PLUGINFILE@@/calculadoraZ.jpg" width="213" height="427" /></td>
<td>
<p style="text-align: justify;"><span style="color: #000000; font-size: small;"><strong>Funciona igual que amb naturals.</strong></span></p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;"><span style="color: #ff3300; font-size: small;"><strong>La tecla (–) permet entrar els nombres negatius.</strong></span></p>
<p style="text-align: justify;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong> </strong></span></p>
</td>
</tr>
</tbody>
</table>]]></text>
<file name="calculadoraN.jpg" 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      <text></text>
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    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
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 <!-- resourceid-resourcedataid: 10691-8079 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.111 Jerarquia Enters</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Fes les operacions indicades<br /><br /></strong></span></p>
<table style="color: #0000ff; border: 4px solid #ffcc00; float: none; text-align: left; vertical-align: middle; width: 500px; background-image: none; background-color: #ffffcc;" border="1" frame="box" rules="all">
<tbody>
<tr>
<td valign="top" width="NaNpx">#a_11 +[(#a_12) · #a_13 – #a_14] – #a_15 : (#a_16)</td>
<td valign="top" width="NaNpx">= {#1}</td>
</tr>
<tr>
<td valign="top" width="NaNpx">#a_21 · (#a_22) – (#a_23 – #a_24) – #a_25 + (#a_26)<sup>2</sup></td>
<td valign="top" width="NaNpx">= {#2}</td>
</tr>
<tr>
<td rowspan="1" valign="top" width="NaNpx">[#a_31 : (#a_32)]<sup>2</sup> – (#a_33 · #a_34<sup>2</sup>) – [#a_35 – (#a_36)]</td>
<td rowspan="1" valign="top" width="NaNpx">= {#3}</td>
</tr>
</tbody>
</table>
<p><span style="color: #0000ff;"><strong><br /><br /><br /></strong></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="color: #006600;"><strong> </strong></span></p>]]></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_2}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_3}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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 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r&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_34&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_35&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_36&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a_31&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_32&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_33&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;a_34&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_35&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_36&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&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;a12&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_12&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;a16&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_16&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;a22&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_22&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;a26&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_26&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;a32&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_32&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;a36&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_36&lt;/mi&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;r_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;38&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_2&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;27&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_3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;10&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;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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000000;" data-mce-mark="1">Les operacions s'introdueixen així, emprant les 4 operacions, els parèntesis, les potències, i la tecla per entrar una quantitat negativa <span style="color: #ff0000;" data-mce-mark="1">(–)</span>:</span></strong><br /><br /></p>
<p><strong>#a_11 + ((<span style="color: #ff0000;">(–)</span> #a12) × #a_13 – #a_14) – #a_15 ÷ (<span style="color: #ff0000;">(–)</span> #a16)</strong></p>
<p><strong><span data-mce-mark="1">#a_21 × (<strong><span data-mce-mark="1"><span data-mce-mark="1"><span style="color: #ff0000;">(–)</span> </span></span></strong>#a22) </span><span data-mce-mark="1">–</span><span data-mce-mark="1"> (#a_23 </span><span data-mce-mark="1">–</span><span data-mce-mark="1"> #a_24) </span><span data-mce-mark="1">–</span><span data-mce-mark="1"> #a_25 + (<strong><span data-mce-mark="1"><span data-mce-mark="1"><span style="color: #ff0000;">(–)</span> </span></span></strong>#a26)</span><sup>2</sup></strong></p>
<p><strong><span>[#a_31 ÷ (<span style="color: #ff0000;"><strong>(–)</strong></span> #a32)]</span><sup>2</sup><span> </span><span>–</span><span> (#a_33 · #a_34</span><sup>2</sup><span>) </span><span>–</span><span> [#a_35 </span><span>–</span><span> (<strong><span><span><span style="color: #ff0000;">(–)</span> </span></span></strong>#a36)]</span></strong></p>]]></text>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10692-8081 -->
 <question type="description">
    <name>
      <text>4.01.1.120 Calculadora racionals</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<table style="border: 4px solid #000099; height: 463px; width: 474px; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="background-color: #000099;" colspan="2" align="center"><span style="font-size: large; color: #ffff99;">Calculadora amb racionals</span></td>
</tr>
<tr>
<td><img src="@@PLUGINFILE@@/calculadoraQ.jpg" width="213" height="427" /></td>
<td>
<p style="text-align: justify;"><span style="color: #000000; font-size: small;"><strong>Funciona igual que amb enters.</strong></span></p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;"><span style="color: #ff0000; font-size: small;"><strong>La tecla a<sup>b/c</sup> permet entrar les fraccions: </strong></span></p>
<p style="text-align: justify;"><span style="color: #ff3300; font-size: small;"><strong><span style="color: #000000;">2/3 s'escriu 2</span> <strong><span style="color: #ff0000;">a<sup>b/c </sup></span><span style="color: #000000;">3.</span></strong></strong></span></p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong><strong><span style="font-size: small; color: #000080;" data-mce-mark="1">Si el resultat és una fracció impròpia del tipus 1 <sub>┘</sub>2<sub> ┘</sub> 3 </span></strong></strong></span><strong style="color: #000080; font-size: small; line-height: 1.4;"> cal teclejar <span style="color: #ff0000;">shift</span> i <span style="color: #ff0000;">a</span><sup><span style="color: #ff0000;">b/c</span> </sup> i dona 5 <sub>┘</sub>3</strong></p>
<p style="text-align: justify;"> </p>
</td>
</tr>
</tbody>
</table>]]></text>
<file name="calculadoraN.jpg" 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</file><file 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 <!-- resourceid-resourcedataid: 10693-8886 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.121 les 4 operacions amb fraccions</text>
    </name>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;" data-mce-mark="1">Efectua els càlculs següents</span><br /><span style="color: #000000;" data-mce-mark="1"><span style="font-weight: bold; color: #ff3300;" data-mce-mark="1">Format de la resposta:</span> 3/5</span> (<span style="text-decoration: underline;" data-mce-mark="1">simplifiqueu</span> el resultat, si s'escau)<br style="font-weight: bold; color: #0000ff;" /><br style="font-weight: bold; color: #0000ff;" /></p>
<table style="color: #0000ff; border: 4px solid #ff9900; float: none; text-align: center; vertical-align: middle; width: 400px; background-image: url('http://insmilaifontanals.cat/none'); background-color: #ffffcc;" border="4" frame="box" rules="all">
<tbody>
<tr>
<td valign="top" width="NaNpx"><span style="font-weight: bold; color: #0000ff;" data-mce-mark="1"><span class="nolink" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«/mrow»«/mstyle»«/math»</span></span></td>
<td valign="top" width="NaNpx">{#1} </td>
</tr>
<tr>
<td valign="top" width="NaNpx"><span style="font-weight: bold; color: #0000ff;" data-mce-mark="1"><span class="nolink" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»3«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»3«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»-«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»4«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»4«/mn»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»</span></span></td>
<td valign="top" width="NaNpx">{#2} </td>
</tr>
<tr>
<td valign="top" width="NaNpx"><span class="nolink" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»5«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»5«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a_«/mi»«mn mathvariant=¨bold¨»6«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»6«/mn»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»</span></td>
<td valign="top" width="NaNpx">{#3} </td>
</tr>
<tr>
<td rowspan="1" valign="top" width="NaNpx"><span class="nolink" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mi mathvariant=¨bold¨»_«/mi»«mn mathvariant=¨bold¨»7«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»_«/mi»«mn mathvariant=¨bold¨»7«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»:«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mi mathvariant=¨bold¨»_«/mi»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«mi mathvariant=¨bold¨»_«/mi»«mn mathvariant=¨bold¨»8«/mn»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»</span></td>
<td rowspan="1" valign="top" width="NaNpx">{#4} </td>
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<p><br style="font-weight: bold; color: #0000ff;" /><br /><br /><br /><br /></p>]]></text>
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&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_1&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_1&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_2&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_2&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;mcd&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;mcd&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_5&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_5&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_6&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_6&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;mcd&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_5&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;mcd&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_6&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_6&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_5&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a_6&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_7&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_7&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_8&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable 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    <hint format="html">
      <text><![CDATA[<p style="text-align: justify;"><strong>Totes les operacions s'entren a la calculadora fent servir la tecla <span style="color: #ff0000;">a<sup>b/c </sup></span>per entrar fraccions.<sup><br /></sup></strong></p>
<p style="text-align: justify;"><strong>Per exemple: #a_1 <span style="color: #ff0000;">a</span><sup><span style="color: #ff0000;">b/c</span>  </sup>#b_1 + #a_2 <span style="color: #ff0000;">a</span><sup><span style="color: #ff0000;">b/c</span>  </sup>#b_2 =<sup> </sup></strong></p>
<p style="text-align: justify;"> </p>
<p style="text-align: justify;"><strong>Si el resultat és una fracció impròpia, cal escriure la fracció resultat emprant les tecles <span style="color: #ff0000;">shift</span> i <span style="color: #ff0000;">a</span><sup><span style="color: #ff0000;">b/c</span>  </sup> </strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10694-8083 -->
 <question type="description">
    <name>
      <text>4.01.1.20  TEORIA: Pas fracció  decimal</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 400px; height: 212px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="void" rules="none" align="center">
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<td style="color: #ff6600; vertical-align: top; border-style: none; text-align: center; background-image: none; background-color: #000066;" colspan="2" valign="top" width="50%"><span style="font-size: medium; color: #ffff99;">Nombres racionals</span></td>
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<td style="color: #ff6600; text-align: left; vertical-align: top; border-style: none; width: 50%; background-image: url('http://www.insmilaifontanals.cat/none'); background-color: #ffffcc;" colspan="2" valign="top">
<div style="text-align: center; font-weight: bold;"><span style="color: #000080;">Són els nombres enters i les fraccions de nombres enters. </span></div>
<div style="text-align: center; font-weight: bold;"><span style="color: #000080;">El conjunt de racionals s'escriu «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨normal¨ mathcolor=¨#00007F¨»§#8474;«/mi»«/math» </span></div>
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<td style="background-color: #000066; background-image: none; color: #ff6600; text-align: left; vertical-align: top; border-style: none;" rowspan="1" colspan="2" valign="top" width="50%">
<div style="text-align: center;"><span style="font-size: medium; color: #ffff99;">Conversions entre fraccions i decimals</span></div>
</td>
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<tr>
<td style="font-weight: bold; background-image: none; border-color: #000099; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" align="justify" valign="top" width="50%">Per transformar una fracció a enterodecimal, <br />es fa la divisió amb la calculadora. <br />Exemple:<br />3/4 = 3 : 4 = 0,75</td>
<td style="font-weight: bold; background-image: none; border-color: #000099; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" valign="top" width="50%">Per passar de la forma enterodecimal a fracció, <br />es compten les xifres que té després de la coma, i s'escriu una fracció que té:<br />
<ul>
<li>al numerador, el nombre sense coma</li>
<li>al denominador, un "1" i tants zeros com xifres hi havia després de la coma.</li>
<li>ES SIMPLIFICA!!!! </li>
</ul>
<p>Exemple: <span class="nolink" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mn»435«/mn»«mo»,«/mo»«mn»86«/mn»«mo»§#160;«/mo»«mo»=«/mo»«mo»§#160;«/mo»«mfrac»«mrow»«mn»43«/mn»«mo»§#160;«/mo»«mn»586«/mn»«/mrow»«mn»100«/mn»«/mfrac»«mo»§#160;«/mo»«mo»=«/mo»«mfrac»«mrow»«mn»21«/mn»«mo»§#160;«/mo»«mn»793«/mn»«/mrow»«mn»50«/mn»«/mfrac»«mspace linebreak=¨newline¨/»«mo»(«/mo»«mn»2«/mn»«mo»§#160;«/mo»«mi»x«/mi»«mi»i«/mi»«mi»f«/mi»«mi»r«/mi»«mi»e«/mi»«mi»s«/mi»«mo»§#160;«/mo»«mi»d«/mi»«mi»e«/mi»«mi»s«/mi»«mi»p«/mi»«mi»r«/mi»«mi»§#233;«/mi»«mi»s«/mi»«mo»§#160;«/mo»«mi»d«/mi»«mi»e«/mi»«mo»§#160;«/mo»«mi»l«/mi»«mi»a«/mi»«mo»§#160;«/mo»«mi»c«/mi»«mi»o«/mi»«mi»m«/mi»«mi»a«/mi»«mo»§#160;«/mo»«mo»§#8658;«/mo»«mo»§#160;«/mo»«mn»100«/mn»«mo»)«/mo»«/math»</span></p>
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</table>]]></text>
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      <text></text>
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 <!-- resourceid-resourcedataid: 10695-8084 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.21 Decimal a fraccio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Escriu com a fracció el nombre #a</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #0000ff;">Atenció, el punt representa una coma.</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #0000ff;"><br /><span style="color: #ff6600;">Format: </span></span><span style="color: #000000;">3 <span style="font-weight: bold; color: #ff6600;">o</span> 5/7</span><span style="font-weight: bold; color: #0000ff;"><span style="color: #ff6600;"> enter o fracció irreductible.</span></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Comptem quantes xifres hi ha després de la coma: #x</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #006600;">La fracció s'escriu amb:</span></p>
<ul style="font-weight: bold; color: #006600;">
<li>al numerador: el nombre sense coma: #b</li>
<li>al denominador: un "1" seguit de tants zeros com xifres tenia el nombre després de la coma.</li>
</ul>
<p><span style="font-weight: bold; color: #006600;">CAL SIMPLIFICAR LA FRACCIÓ.</span></p>]]></text>
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    <answer fraction="100" format="plain_text">
      <text>#r</text>
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        <text></text>
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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>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;" data-mce-mark="1">Comptem quantes xifres hi ha després de la coma: #x</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #006600;" data-mce-mark="1">La fracció s'escriu amb:</span></p>
<ul style="font-weight: bold; color: #006600;">
<li>al numerador: el nombre sense coma: #b</li>
<li>al denominador: un "1" seguit de #x zero/s: #c</li>
</ul>
<p><span style="font-weight: bold; color: #006600;" data-mce-mark="1">CAL SIMPLIFICAR LA FRACCIÓ SI ES POT.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10696-8887 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.22 Decimal a fraccio</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Escriu com a fracció el nombre #a</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #0000ff;">Atenció, el punt representa una coma.</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #0000ff;"><br /><span style="color: #ff6600;">Format: </span></span><span style="color: #000000;">3 <span style="font-weight: bold; color: #ff6600;">o</span> 5/7</span><span style="font-weight: bold; color: #0000ff;"><span style="color: #ff6600;"> enter o fracció irreductible.</span></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Comptem quantes xifres hi ha després de la coma.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #006600;">La fracció s'escriu amb:</span></p>
<ul style="font-weight: bold; color: #006600;">
<li>al numerador: el nombre sense coma</li>
<li>al denominador: un "1" seguit de tants zeros com xifres tenia el nombre després de la coma.</li>
</ul>
<p><span style="font-weight: bold; color: #006600;">CAL SIMPLIFICAR LA FRACCIÓ.</span></p>]]></text>
    </generalfeedback>
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    <answer fraction="100" format="plain_text">
      <text>#r</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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  </question>
 
 <!-- resourceid-resourcedataid: 10697-8086 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.22 Fracció a decimal</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Escriu com a nombre decimal la fracció #f</span><br style="font-weight: bold; color: #0000ff;" /><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #0000ff;"><br /><span style="color: #ff6600;">Format: </span></span>2.53<span style="font-weight: bold; color: #0000ff;"><span style="color: #ff6600;"> (arrodonit als centèsims, amb punt i no coma)</span></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#r</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong>Cal dividir #n per #d  i arrodonir el resultat.</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10698-8888 -->
 <question type="calculated">
    <name>
      <text>4.01.1.26 Fraccio a decimal</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Escriu com a nombre decimal (als centèsims) la fracció {a} / {b} </span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">N'hi ha prou amb fer la divisió </span></p>]]></text>
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<answer fraction="100">
    <text>{a}/{b}</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>2</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text><![CDATA[<p><span style="font-weight: bold; color: #000099;">N'hi ha prou amb fer la divisió!</span></p>]]></text>
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</answer>
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 <!-- resourceid-resourcedataid: 10699-8889 -->
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      <text>4.01.1.27 Fracció a decimal_2</text>
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 <!-- resourceid-resourcedataid: 10700-8088 -->
 <question type="description">
    <name>
      <text>4.01.1.30A TEORIA: Periòdics purs</text>
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      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 400px; height: 130px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="box" rules="all" align="center">
<tbody>
<tr>
<td style="background-color: #000066; background-image: none; border-color: #000066; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" rowspan="1" valign="top" width="50%">
<div style="text-align: center;"><span style="color: #ffcc00; font-size: x-large;"><span style="font-weight: bold;"> </span><span style="font-size: large; color: #ffff99;">Periòdics purs</span></span></div>
</td>
</tr>
<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><span style="font-size: small;" data-mce-mark="1">Son aquells on el <span style="color: #009900;" data-mce-mark="1">període </span>(la repetició) comença just després de la coma.</span><br /><span style="font-size: small;" data-mce-mark="1">Exemple: 6,<span style="color: #009900;" data-mce-mark="1">45</span><span style="color: #009900;" data-mce-mark="1">45</span><span style="color: #009900;" data-mce-mark="1">45</span> ...</span></td>
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<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><span style="font-size: small;" data-mce-mark="1">El període són les xifres que es repeteixen; en l'exemple, el <span style="color: #009900;" data-mce-mark="1">període</span> és <span style="color: #009900;" data-mce-mark="1">45</span>.</span><br /><br /></td>
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<div align="center"><br /><br /></div>]]></text>
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 <!-- resourceid-resourcedataid: 10701-8089 -->
 <question type="description">
    <name>
      <text>4.01.1.30B TEORIA: Periòdics mixtes</text>
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    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 400px; height: 140px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="box" rules="all" align="center">
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<td style="background-color: #000066; background-image: none; border-color: #000066; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" rowspan="1" valign="top" width="50%">
<div style="text-align: center;"><span style="color: #ffff99; font-size: large;" data-mce-mark="1"><span data-mce-mark="1">Periòdics mixtes</span></span></div>
</td>
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<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><span style="font-size: small;" data-mce-mark="1">Són aquells on entre el <span style="color: #009900;" data-mce-mark="1">períod</span>e i la coma, hi ha un <span style="color: #ff6600;" data-mce-mark="1">avant període.</span></span><br /><span style="font-size: small;" data-mce-mark="1">Exemple: 6,<span style="color: #ff6600;" data-mce-mark="1">23</span><span style="color: #009900;" data-mce-mark="1">456</span><span style="color: #009900;" data-mce-mark="1">456</span>...</span></td>
</tr>
<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><span style="font-size: small;">El <span style="color: #009900;">període</span> són les xifres que es repeteixen; en l'exemple, el període és 456.</span><br /><span style="font-size: small;"><span style="color: #ff6600;">L'avantperíode</span> són les xifres entre la coma i el període; en l'exemple és <span style="color: #ff6600;">23</span>.</span></td>
</tr>
</tbody>
</table>
<div align="center"><br /><br /></div>]]></text>
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 <!-- resourceid-resourcedataid: 10702-8890 -->
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      <text>4.01.1.31 Determinar avantperíode i període</text>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Completeu la taula: (Poseu cap si no en té)</span></p>
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<tbody>
<tr>
<td style="color: #0000ff;" valign="top" width="25%"><span style="color: #000080;"><strong><span style="font-size: small;">Nombre</span></strong></span></td>
<td style="color: #0000ff;" valign="top" width="25%"><span style="color: #000080;"><strong><span style="font-size: small;">Part entera</span></strong></span></td>
<td style="color: #0000ff;" valign="top" width="25%"><span style="color: #000080;"><strong><span style="font-size: small;">Avantperíode</span></strong></span></td>
<td style="color: #0000ff;" valign="top" width="25%"><span style="color: #000080;"><strong><span style="font-size: small;">Període</span></strong></span></td>
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<td style="color: #0000ff;" valign="top" width="25%">{#2}</td>
<td style="color: #0000ff;" valign="top" width="25%">{#3}</td>
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<td style="color: #0000ff;" valign="top" width="25%">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«/mrow»«/mstyle»«/math» ...</td>
<td style="color: #0000ff;" valign="top" width="25%">{#4}</td>
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<td style="color: #0000ff;" valign="top" width="25%">{#6}</td>
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<td style="color: #0000ff;" valign="top" width="25%">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»3«/mn»«/mrow»«/mstyle»«/math» ...</td>
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<td style="color: #0000ff;" valign="top" width="25%">{#10}</td>
<td style="color: #0000ff;" valign="top" width="25%">{#11}</td>
<td style="color: #0000ff;" valign="top" width="25%">{#12}</td>
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definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;e1&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p11&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p12&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p11&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p12&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p11&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p12&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p11&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p12&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;p11&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p12&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;p1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p11&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;p12&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;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;e2&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a21&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a22&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p21&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a21&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;01&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a22&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p21&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p21&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;00001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p21&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a22&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p21&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a21&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a22&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;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;p21&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;e3&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;101&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;75&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p3&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;111&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;e3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;01&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;00001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;00000001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;/input&gt;&lt;/command&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;e4&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p41&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p42&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p43&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;e4&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p41&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p42&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p43&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p41&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p42&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;p43&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;p41&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p42&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;p41&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p43&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;p42&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;p43&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/apply&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;p4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p41&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p42&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;p43&lt;/mi&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;n1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p1&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;14.758&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;75&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;n2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p2&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;3.0844&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&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;n3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p3&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;903.54&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;54&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;124&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;n4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p4&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;18.498&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;498&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;12&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-12)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10703-8091 -->
 <question type="description">
    <name>
      <text>4.01.1.40 TEORIA: Periòdic pur a fracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 396px; height: 283px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="box" rules="all" align="center">
<tbody>
<tr>
<td style="background-color: #000066; background-image: none; border-color: #000066; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" rowspan="1" valign="top" width="50%">
<div style="text-align: center;"><span style="color: #ffcc00; font-size: x-large;" data-mce-mark="1"><span style="font-weight: bold;" data-mce-mark="1"> </span><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Periòdic pur → fracció</span></span></div>
</td>
</tr>
<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><ol>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Comptem les xifres del període </span></li>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Multipliquem el nombre per 1 seguit de tants zeros com xifres té el període.</span></li>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Restem i en deduïm la fracció.</span></li>
</ol></td>
</tr>
<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%">
<p><span style="font-size: small; color: #000080;" data-mce-mark="1"><span style="font-size: small;" data-mce-mark="1">Exemple:   x = 6,<span style="color: #008000;" data-mce-mark="1">45</span>4545...</span></span><br /><span style="color: #000080; font-size: small;" data-mce-mark="1">El període té <span style="color: #008000;" data-mce-mark="1">2</span> xifres, multipliquem per 1<span style="color: #008000;" data-mce-mark="1">00</span>.</span></p>
<p><span style="color: #000080; font-size: small;" data-mce-mark="1">                                 100x = 645,454545...</span></p>
<p><span style="color: #000080; font-size: small;" data-mce-mark="1">restem                    <span style="text-decoration: underline;" data-mce-mark="1">     x =     6,454545...</span> </span></p>
<p style="text-align: left;"><span style="font-size: large;">                    <span style="font-size: small; color: #000080;">99x = 639</span>  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨»639«/mn»«mn mathvariant=¨bold¨»99«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨»71«/mn»«mn mathvariant=¨bold¨»11«/mn»«/mfrac»«/math»</span></p>
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 <question type="multianswerwiris">
    <name>
      <text>4.01.1.41A aprendre periòdic pur-fracció (1 xifra)</text>
    </name>
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      <text><![CDATA[<div style="text-align: justify;" align="center"><strong style="color: #000066; font-size: 13.6000003814697px; line-height: 1.4;"><span data-mce-mark="1"><span data-mce-mark="1">Transforma el nombre periòdic pur  x = #a... a fracció.</span></span></strong></div>
<p><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><span style="color: #000080;" data-mce-mark="1"><br /></span></span></strong></span><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><strong>a) Quantes xifres té el període? {#1}  Per quina quantitat cal multiplicar x? Per </strong></span><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1">{#2}</span><br /><br /></strong></span></strong></span></strong></span></strong></span><span style="color: #000080;" data-mce-mark="1">b) Escriu les operacions i fes la resta:</span></span></strong></span></strong></span></p>
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<td align="right" valign="top"><span style="font-size: small;"><strong><span data-mce-mark="1"><strong><span data-mce-mark="1"><strong>{#3}</strong></span></strong></span></strong></span></td>
<td><strong><span style="font-size: small;">x</span></strong></td>
<td><span style="font-size: small;">=</span></td>
<td><span style="font-size: small;"><strong><span data-mce-mark="1"><strong><span data-mce-mark="1"><strong><span data-mce-mark="1"><span data-mce-mark="1"><strong>{#4}</strong></span>...</span></strong></span></strong></span></strong></span></td>
<td><span style="font-size: small;"><strong><span data-mce-mark="1"><strong><span data-mce-mark="1"><strong><span data-mce-mark="1">(amb #d decimals)</span></strong></span></strong></span></strong></span></td>
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<td align="right"><strong><span style="font-size: small;">-</span></strong></td>
<td align="right"><strong><span style="font-size: small;">x</span></strong></td>
<td align="right"><span style="font-size: small;">=</span></td>
<td align="right"><span style="font-size: small;"><strong><strong><strong><span data-mce-mark="1"><span data-mce-mark="1"><strong><span data-mce-mark="1"><span data-mce-mark="1">{#5}</span></span></strong></span> ...</span></strong></strong></strong></span></td>
<td align="right"><span style="font-size: small;"><strong>(amb #d decimals)</strong></span></td>
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<td align="right" valign="top"><span style="font-size: small;"><strong>{#6}</strong></span></td>
<td><strong><span style="font-size: small;">x</span></strong></td>
<td>=</td>
<td><span style="font-size: small;"><strong>{#7}</strong></span></td>
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<p><span style="color: #000080;" data-mce-mark="1"><strong><span style="color: #000080;" data-mce-mark="1"><strong> </strong></span></strong></span></p>
<p><strong>Resultat SIMPLIFICAT: x = </strong><strong><strong><strong>{#8} / <strong><strong><strong>{#9}</strong></strong></strong></strong></strong></strong><br /><strong><br /></strong></p>
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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;6381.&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;p_2&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;9&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;709.&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;n1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d1&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;6381.&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10705-8093 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.42 Transforma2PeriòdicsPursFracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong><span data-mce-mark="1">Escriu la fracció <span style="text-decoration: underline; font-size: medium;">simplificada </span>que correspon a m =</span></strong></span> #p ...</p>
<p> </p>
<p><span style="color: #0000ff;"><strong><span data-mce-mark="1">Escriu la fracció <span style="text-decoration: underline; font-size: medium;">simplificada </span>que correspon a n =</span></strong></span> #q ...</p>
<p> </p>
<p><strong><span style="color: #ff6600;" data-mce-mark="1">Format: </span></strong><span data-mce-mark="1">13/9</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Primer esbrineu si és periòdic pur o mixt.<br /><br />Si és pur, cal comptar les xifres del període per multiplicar per 10, 100...<br /><br />Si és mixt, calen comptar dues coses per multiplicar per 10, 100, ...<br /></span></p>
<ul style="color: #006600; font-weight: bold;">
<li>el nombre de xifres de l'avantperíode + el període</li>
<li>el nombre de xifres de l'avantperíode</li>
</ul>
<p><span style="color: #006600; font-weight: bold;">Finalment es resta per trobar la fracció.</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></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;u&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a4&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&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;precisió&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&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;p1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;p4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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name="precision"&gt;11&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;50 50&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10706-8094 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.43 Transforma2PeriòdicsPursFracció_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong><span data-mce-mark="1">Escriu la fracció <span style="text-decoration: underline; font-size: medium;">simplificada </span>que correspon a m =</span></strong></span> #p ...</p>
<p> </p>
<p><span style="color: #0000ff;"><strong><span data-mce-mark="1">Escriu la fracció <span style="text-decoration: underline; font-size: medium;">simplificada </span>que correspon a n =</span></strong></span> #q ...</p>
<p> </p>
<p><strong><span style="color: #ff6600;" data-mce-mark="1">Format: </span></strong><span data-mce-mark="1">13/9</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Primer esbrineu si és periòdic pur o mixt.<br /><br />Si és pur, cal comptar les xifres del període per multiplicar per 10, 100...<br /><br />Si és mixt, calen comptar dues coses per multiplicar per 10, 100, ...<br /></span></p>
<ul style="color: #006600; font-weight: bold;">
<li>el nombre de xifres de l'avantperíode + el període</li>
<li>el nombre de xifres de l'avantperíode</li>
</ul>
<p><span style="color: #006600; font-weight: bold;">Finalment es resta per trobar la fracció.</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"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;p1&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&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;q&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p4&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;q&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;1915&lt;/mn&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;/mfrac&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;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;11&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;50 50&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
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 <question type="description">
    <name>
      <text>4.01.1.50 TEORIA: Periòdic mixt a fracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 396px; height: 283px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="box" rules="all" align="center">
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<td style="background-color: #000066; background-image: none; border-color: #000066; border-width: 4px; text-align: left; vertical-align: top; border-style: solid;" rowspan="1" valign="top" width="50%">
<div style="text-align: center;"><span style="color: #ffcc00; font-size: x-large;" data-mce-mark="1"><span style="font-weight: bold;" data-mce-mark="1"> </span><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Periòdic mixt → fracció</span></span></div>
</td>
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<tr>
<td style="font-weight: bold; text-align: justify;" valign="top" width="50%"><ol>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Comptem les xifres del període i les de l'avantperíode.</span></li>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Multipliquem el nombre per 1 seguit de tants zeros com xifres tenen avantperiòde i període.</span></li>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Multipliquem el nombre per 1 seguit de tants zeros com té l'avantperíode.</span></li>
<li><span style="font-size: small; color: #000080;" data-mce-mark="1">Restem i en deduïm la fracció.</span></li>
</ol></td>
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<p><span style="color: #000080; font-size: small;" data-mce-mark="1"><span style="color: #000080; font-size: small;" data-mce-mark="1">Exemple:   x = 6,<span style="color: #000080; font-size: small;" data-mce-mark="1">23</span><span style="color: #000080; font-size: small;" data-mce-mark="1"><span style="color: #000080; font-size: small;" data-mce-mark="1">456</span>456456</span>...</span></span><br /><span style="color: #000080; font-size: small;" data-mce-mark="1">Avantperíode i període tenen <span style="color: #000080; font-size: small;" data-mce-mark="1">5</span> xifres, multipliquem per 1<span style="color: #000080; font-size: small;" data-mce-mark="1">00.000: </span></span><span style="color: #000080; font-size: small;" data-mce-mark="1">     100.000x = 623.456,456456...</span></p>
<p><span style="color: #000080; font-size: small;" data-mce-mark="1">L'avantperíode té 2 xifres, multipliquem per 100: </span></p>
<p><span style="color: #000080; font-size: small;" data-mce-mark="1">100x = 623,456456...</span></p>
<p><span style="font-size: small; color: #000080;" data-mce-mark="1">Restem: 100.000x = 623.456,456456...</span></p>
<p><span style="font-size: large; color: #000080;" data-mce-mark="1">          <span style="text-decoration: underline;" data-mce-mark="1">    <span style="font-size: large;" data-mce-mark="1"> <span style="font-size: small;" data-mce-mark="1">100x =        623,456456...</span></span><span style="font-size: small;" data-mce-mark="1"> </span></span></span></p>
<p style="text-align: left;"><span style="font-size: large;">          <span style="font-size: small;"><span style="color: #000080;">99.900x =622.833</span>  </span>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathvariant=¨bold¨»622«/mn»«mo mathvariant=¨bold¨».«/mo»«mn mathvariant=¨bold¨»833«/mn»«/mrow»«mrow»«mn mathvariant=¨bold¨»99«/mn»«mo mathvariant=¨bold¨».«/mo»«mn mathvariant=¨bold¨»900«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mn mathvariant=¨bold¨»207«/mn»«mo mathvariant=¨bold¨».«/mo»«mn mathvariant=¨bold¨»611«/mn»«/mrow»«mrow»«mn mathvariant=¨bold¨»33«/mn»«mo mathvariant=¨bold¨».«/mo»«mn mathvariant=¨bold¨»300«/mn»«/mrow»«/mfrac»«/math»</span></p>
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    <defaultgrade>0.0000000</defaultgrade>
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 <question type="multianswerwiris">
    <name>
      <text>4.01.1.51A aprendre periòdic mixt-fracció (1 xifra)</text>
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      <text><![CDATA[<div style="text-align: left;" align="center"><span style="color: #000066;"><strong style="color: #000066; font-size: 13.6000003814697px; line-height: 1.4;">Transforma el nombre periòdic mixt  x = #a... a fracció.</strong></span></div>
<p><span style="color: #000066;"><span style="color: #000066;"><strong><span style="color: #000066;"><span style="color: #000066;"><br />Quantes xifres tenen l'avantperíode i el període junts? {#1}<br />Per quina quantitat cal multiplicar x? Per </span></span></strong></span><span style="color: #000066;"><strong><span style="color: #000066;"><strong><span style="color: #000066;"><strong>{#2}<br /></strong></span></strong></span></strong></span></span><br /><span style="color: #000066;"><span style="color: #000066;"><strong><span style="color: #000066;"><strong><span style="color: #000066;"><strong><span style="color: #000066;"><strong><span style="color: #000066;"><span style="color: #000066;">Quantes xifres té l'avantperíode? {#3}<br />Per quina quantitat cal multiplicar x? Per </span></span></strong></span><span style="color: #000066;"><strong><span style="color: #000066;"><strong><span style="color: #000066;"><strong>{#4}<br /><br /></strong></span></strong></span></strong></span></strong></span>Escriu les operacions i fes la resta:</strong></span></strong></span></span></p>
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<td align="right" valign="middle"><strong><span style="font-size: small;">{#5}</span></strong></td>
<td><strong><span style="font-size: small;">x</span></strong></td>
<td><strong><span style="font-size: small;">=</span></strong></td>
<td><strong><span style="font-size: small;"> {#6}...</span></strong></td>
<td><strong><span style="font-size: small;">(amb #d_1 decimals)</span></strong></td>
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<td align="right" valign="middle"><strong><span style="font-size: small;"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1">- </span></span></span></span><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1">{#7}</span></span></span></span></span></span></span></span></strong></td>
<td><strong><span style="font-size: small;">x</span></strong></td>
<td><strong><span style="font-size: small;">=</span></strong></td>
<td><strong><span style="font-size: small;"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1">{#8}</span></span></span> ...</span></span></span></span></strong></td>
<td><strong><span style="font-size: small;"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"> </span></span></span></span><span data-mce-mark="1">(amb #d_2 decimals)</span></span></strong></td>
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<td align="right" valign="middle"><strong><span style="font-size: small;"><span data-mce-mark="1"><span data-mce-mark="1">{#9}</span></span></span></strong></td>
<td><strong><span style="font-size: small;">x</span></strong></td>
<td><strong><span style="font-size: small;">=</span></strong></td>
<td><strong><span style="font-size: small;"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1"><span data-mce-mark="1">{#10}</span></span></span></span></span></span></span></span></strong></td>
<td> </td>
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<p><span style="color: #000066;" data-mce-mark="1"><span style="color: #000066;" data-mce-mark="1"><strong>Resultat SIMPLIFICAT: x = </strong></span></span><span style="color: #000066;" data-mce-mark="1"><strong><span style="color: #000066;" data-mce-mark="1"><strong><span style="color: #000066;" data-mce-mark="1"><strong>{#11} / <span style="color: #000066;" data-mce-mark="1"><span style="color: #000066;" data-mce-mark="1"><strong><span style="color: #000066;" data-mce-mark="1"><strong><span style="color: #000066;" data-mce-mark="1"><strong>{#12}</strong></span></strong></span></strong></span></span></strong></span></strong></span></strong></span></p>
<p><span style="color: #000066;" data-mce-mark="1"><strong> </strong></span></p>]]></text>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;22556.&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;p_3&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;990&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10709-8097 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.52 Transformar2PeriòdicsMixtsFracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="text-decoration: underline;"><span style="font-size: medium;">simplificada</span></span> que correspon a m =  </strong></span>#p...<br /><br /><span style="text-decoration: underline;"><span style="font-size: medium;"><strong><br /></strong></span></span></p>
<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="color: #0000ff;"><span style="color: #0000ff;">simplificada</span></span> que correspon a n =  </strong></span>#q...<br /><br /><span style="color: #0000ff;"><span style="color: #0000ff;"><strong><br /></strong></span></span></p>
<p><span style="color: #ff6600;" data-mce-mark="1"><span style="color: #ff3300; font-weight: bold;" data-mce-mark="1">El resultat s'escriu amb la fracció simplificada exemple: 13/9</span><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Primer esbrineu si és periòdic pur o mixt.<br /><br />Si és pur, cal comptar les xifres del període per multiplicar per 10, 100...<br /><br />Si és mixt, calen comptar dues coses per multiplicar per 10, 100, ...<br /></span></p>
<ul style="color: #006600; font-weight: bold;">
<li>el nombre de xifres de l'avantperíode + el període</li>
<li>el nombre de xifres de l'avantperíode</li>
</ul>
<p><span style="color: #006600; font-weight: bold;">Finalment es resta per trobar la fracció.</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;precisió&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&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;p1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;p1&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;90&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;90&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;900&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;90&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;900&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&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;q&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p4&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol 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name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10710-8098 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.53 Transformar2PeriòdicsMixtsFracció_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="text-decoration: underline;"><span style="font-size: medium;">simplificada</span></span> que correspon a m =  </strong></span>#p...<br /><br /><span style="text-decoration: underline;"><span style="font-size: medium;"><strong><br /></strong></span></span></p>
<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="color: #0000ff;"><span style="color: #0000ff;">simplificada</span></span> que correspon a n =  </strong></span>#q...<br /><br /><span style="color: #0000ff;"><span style="color: #0000ff;"><strong><br /></strong></span></span></p>
<p><span style="color: #ff6600;" data-mce-mark="1"><span style="color: #ff3300; font-weight: bold;" data-mce-mark="1">El resultat s'escriu amb la fracció simplificada exemple: 13/9</span><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Primer esbrineu si és periòdic pur o mixt.<br /><br />Si és pur, cal comptar les xifres del període per multiplicar per 10, 100...<br /><br />Si és mixt, calen comptar dues coses per multiplicar per 10, 100, ...<br /></span></p>
<ul style="color: #006600; font-weight: bold;">
<li>el nombre de xifres de l'avantperíode + el període</li>
<li>el nombre de xifres de l'avantperíode</li>
</ul>
<p><span style="color: #006600; font-weight: bold;">Finalment es resta per trobar la fracció.</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"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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 <!-- resourceid-resourcedataid: 10711-8099 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.91 Problema amb fraccions i decimals</text>
    </name>
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      <text><![CDATA[<table style="border: 4px solid #ffcc00; width: 204px; height: 164px; background-color: #ffffcc;" border="4">
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<td colspan="2"><br /> 
<p><strong> <span style="color: #0000ff;" data-mce-mark="1">Fem una pizza amb:</span></strong></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>#f kg de farina</strong></span></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>#l kg d'aigua</strong></span></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>#o g d'oli d'oliva</strong></span></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>#s g de sal</strong></span></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>#g g de guarnició</strong></span></p>
</td>
</tr>
</tbody>
</table>
<p> </p>
<p><strong><span style="color: #0000ff;">1. Quina és la massa total de la pizza (en grams) </span></strong></p>
<p>{#1} g</p>
<p> </p>
<p><strong><span style="color: #0000ff;">2. Si quan es cou perd un p%, quina serà la massa de la pizza cuita (en grams)?</span></strong> </p>
<p>{#2} g</p>
<p> </p>
<p><span style="color: #000080;"><strong>3. Si la teva parella menja #w1 de la pizza i tu en menges #w2 g, quants grams de pizza queden?</strong></span></p>
<p>{#3} g</p>
<p> </p>
<p> </p>]]></text>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&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;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;p&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&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;m2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mfrac&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;w1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&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;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;w2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&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;w3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;w2&lt;/mi&gt;&lt;mi&gt;m2&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mfenced&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;m3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;w1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;w2&lt;/mi&gt;&lt;mi&gt;m2&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;/mrow&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;/mfrac&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;f&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;g&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;mfrac&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;30&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;m1&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;1185.&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;p&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;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;m2&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;1125.8&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;w1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;w2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;w3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0.08883&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;m3&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;0.7445&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;assertions&gt;&lt;assertion name="check_simplified"/&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;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;8&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10712-8893 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.92 Calcular un tant per cent amb quantitats</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff; font-size: medium;">Escriviu el tant per cent que correspon a les quantitats indicades:<br /></span></p>
<table style="font-weight: bold; color: #0000ff; width: 500px; border: 4px solid #ff9900; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="text-align: center;" valign="top" width="33%"><span style="font-size: small; color: #000080;">Quantitat<br /></span></td>
<td style="text-align: center;" valign="top" width="33%"><span style="font-size: small; color: #000080;">Total<br /></span></td>
<td style="text-align: center;" valign="top" width="33%"><span style="font-size: small; color: #000080;">Tant per cent<br /></span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#a_1<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#b_1<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">{#1}%<br /></span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#a_2<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#b_2<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">{#2}% </span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#a_3<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#b_3<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">{#3}% </span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#a_4<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">#b_4<br /></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;">{#4}% </span></td>
</tr>
</tbody>
</table>
<p><span style="font-weight: bold; color: #0000ff; font-size: medium;"><br /><span style="font-size: small;"><span style="color: #ff6600;">Format de la resposta:</span> </span></span>3,4562 % (si s'escau, arrodonit amb 5 decimals, i punt en lloc de coma!)</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #NO~=#c_1#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #NO~=#c_2#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #NO~=#c_3#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #NO~=#c_4#bé}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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;a_1&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&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;b_1&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&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;c_1&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;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a_2&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;1.3724&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;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;options&gt;&lt;option name="precision"&gt;12&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="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<div style="text-align: justify;"><span style="font-weight: bold; color: #0000ff;">Primer es calcula el tant per u, dividint la quantitat pel total; després es multiplica per cent per a obtenir el tant per cent. </span></div>
<div style="text-align: justify;"><span style="font-weight: bold; color: #0000ff;"> </span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10713-8894 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.93 Calcular quantitat amb tant per cent</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Escriviu les quantitats que correspon als tants per cents indicats:</span></p>
<table style="font-weight: bold; color: #0000ff; width: 500px; border: 4px solid #ff9900; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="text-align: center;" valign="top" width="33%">Tant per cent</td>
<td style="text-align: center;" valign="top" width="33%">de</td>
<td style="text-align: center;" valign="top" width="33%">Quantitat</td>
</tr>
<tr>
<td valign="top" width="33%">#a_1 %</td>
<td valign="top" width="33%">#b_1</td>
<td valign="top" width="33%">{#1}</td>
</tr>
<tr>
<td valign="top" width="33%">#a_2 %</td>
<td valign="top" width="33%">#b_2</td>
<td valign="top" width="33%">{#2}</td>
</tr>
<tr>
<td valign="top" width="33%">#a_3 %</td>
<td valign="top" width="33%">#b_3</td>
<td valign="top" width="33%">{#3}</td>
</tr>
<tr>
<td valign="top" width="33%">#a_4 %</td>
<td valign="top" width="33%">#b_4</td>
<td valign="top" width="33%">{#4}</td>
</tr>
</tbody>
</table>
<p><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #ff6600;">Format de la resposta: </span>542.35 (als centèsims i punt en lloc de coma)</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
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            <![CDATA[{1:SHORTANSWER: #NO~=#c_1#bé}]]>
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            <![CDATA[{1:SHORTANSWER: #NO~=#c_2#bé}]]>
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            <![CDATA[{1:SHORTANSWER: #NO~=#c_3#bé}]]>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;1090.6&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;6&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #006600; font-weight: bold;">S'aplica que el 5% de A és:</span><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mn mathvariant=¨bold¨»5«/mn»«mn mathvariant=¨bold¨»100«/mn»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»*«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»A«/mi»«/mrow»«/mstyle»«/math»</span></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10714-8102 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.1.94 Tant per cent amb enunciat</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-size: small; color: #0000ff;">Completeu les frases següents (LLEGIU BÉ EL QUE ES DEMANA):</span></strong></p>
<table style="width: 400px;" border="0">
<tbody>
<tr>
<td style="text-align: justify;"><strong><span style="font-size: small; color: #0000ff;">a) Si ens fan un descompte d'un #a_1 % sobre uns pantalons que valen #b_1 euros, pagarem {#1} euros.</span></strong>
<p><br /><strong><span style="font-size: small; color: #0000ff;">b) Si paguem una multa de #b_2 € abans de 10 dies, ens fan una rebaixa d'un #a_2 %. La rebaixa que ens fan és doncs de {#2} euros.</span></strong></p>
<p><br /><strong><span style="font-size: small; color: #0000ff;">c) Voliem comprar una nevera per #b_3 euros. Per modificacions de l'IVA, el preu de la nevera augmenta d'un #a_3 %. El preu final de la nevera és de: {#3} euros.</span></strong></p>
<br /><strong><span style="font-size: small; color: #0000ff;">d) Després d'una rebaixa, una camisa ha passat de #a_4 a #b_4 euros. El tant per cent de rebaixa és de {#4} %.</span></strong></td>
</tr>
</tbody>
</table>
<p><br /><strong><span style="color: #0000ff;">Escriviu</span><span style="font-size: small; color: #0000ff;"> les respostes amb 2 decimals si s'escau, amb punt i no coma: 3.52</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.1000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #primer es calcula el descompte i després es resta~=#c_1#molt bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #només cal calcular el descompte~=#c_2#molt bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #primer es calcula l'augment i després es suma~=#c_3#molt bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #es resten els dos preus, i es fa el tant per cent amb el preu inicial~=#c_4#molt bé}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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;a_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;60&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&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;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;39&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;59&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;69&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;89&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;15&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;35&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;45&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&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;b_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;150&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;200&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;400&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;600&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&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;c_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;300&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;400&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;500&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;600&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;700&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;80&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&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;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&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;/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;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_4&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;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;79&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;35&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;400&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;600&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&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_1&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;47.4&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_2&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;140.&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_3&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;624.&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_4&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;16.667&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;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10715-8103 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.AQ1.A Transformar2PeriòdicsMixtsFracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="text-decoration: underline;"><span style="font-size: medium;">simplificada</span></span> que correspon a m =  </strong></span>#p...<br /><br /><span style="text-decoration: underline;"><span style="font-size: medium;"><strong><br /></strong></span></span></p>
<p><br /><br /><span style="color: #0000ff;"><span style="color: #0000ff;"><strong><br /></strong></span></span></p>
<p><span style="color: #ff6600;" data-mce-mark="1"><span style="color: #ff3300; font-weight: bold;" data-mce-mark="1">El resultat s'escriu amb la fracció simplificada exemple: 13/9</span><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></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"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></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;u&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a4&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&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;precisió&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&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;p1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p3&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;q&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;p2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;p4&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;17729&lt;/mn&gt;&lt;mn&gt;4950&lt;/mn&gt;&lt;/mfrac&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;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;g&lt;/mi&gt;&lt;/math&gt;]]&gt;&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="precision"&gt;11&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10716-8104 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.1.AQ1.B Transformar2PeriòdicsMixtsFracció</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Escriu la fracció <span style="text-decoration: underline;"><span style="font-size: medium;">simplificada</span></span> que correspon a m =  </strong></span>#p...<br /><br /><span style="text-decoration: underline;"><span style="font-size: medium;"><strong><br /></strong></span></span></p>
<p><br /><br /><span style="color: #0000ff;"><span style="color: #0000ff;"><strong><br /></strong></span></span></p>
<p><span style="color: #ff6600;" data-mce-mark="1"><span style="color: #ff3300; font-weight: bold;" data-mce-mark="1">El resultat s'escriu amb la fracció simplificada exemple: 13/9</span><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></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"><mi>m</mi><mo>=</mo><mo>#</mo><mi>f</mi><mspace linebreak="newline"/><mi>n</mi><mo>=</mo><mo>#</mo><mi>g</mi></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;u&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a3&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a4&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;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a4&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&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;precisió&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&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;p1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&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;p3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/msup&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
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 <question type="category"><category><text>4t ESO/4.01 NOMBRES/4.01.2 Aproximació i error</text></category></question>
 
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      <text>4.01.2.10 TEORIA: Aproximació</text>
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<p><span style="font-size: medium; color: #000080;" data-mce-mark="1"><strong><span data-mce-mark="1">Nomenclatura</span></strong></span></p>
<h6 style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Als dècims: 1 xifra, als centèsimes: 2 xifres. als mil·lèsims 3 xifres, </strong></span><strong style="color: #000080; font-size: small; line-height: 1.4;">als deumil·lèsims: 4 xifres, als centmil·lèsims: 5 xifres, als milionèsims: 6 xifres.</strong></h6>
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<p><span style="color: #000080;"><strong><span style="font-size: medium;">Truncament</span></strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>S'eliminen totes les xifres a partir del rang de l'aproximació. Si és als mil·lèsims, es deixen  3  xifres decimals i   es treuen totes les altres </strong></span></p>
<p><span style="font-size: medium; color: #000080;"><strong>Arrodoniment</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Primer es fa el truncament fins on toca; als centèsims fins a 2 xifres.</strong></span></p>
<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Es mira la xifra següent. Si és 0,1,2,3,4 es deixa el truncament tal qual. Si és 5,6,7,8,9, es suma 1 a la última xifra del truncament.</strong></span></p>
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      <text>4.01.2.101 TEORIA: Aproximació (GIF)</text>
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<td style="text-align: center;" rowspan="1" align="center" valign="top" width="50%"><img alt="" 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" 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" 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      <text></text>
    </generalfeedback>
    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
  </question>
 
 <!-- resourceid-resourcedataid: 10719-8106 -->
 <question type="matching">
    <name>
      <text>4.01.2.11 Vocabulari aproximació</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Quants decimals deixem en cada cas?</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text><![CDATA[<p>La teva resposta és correcta.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>La teva resposta és parcialment correcta.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>La teva resposta és incorrecta.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect></shownumcorrect>
    <subquestion format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Dècims</span></strong></p>]]></text>
      <answer>
        <text>1 decimal</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Centèsims</strong></span></p>]]></text>
      <answer>
        <text>2 decimals</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Mil·lèsims</strong></span></p>]]></text>
      <answer>
        <text>3 decimals</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Deumil·lèsims</strong></span></p>]]></text>
      <answer>
        <text>4 decimals</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Centmil·lèsims</strong></span></p>]]></text>
      <answer>
        <text>5 decimals</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Milionèsims</strong></span></p>]]></text>
      <answer>
        <text>6 decimals</text>
      </answer>
    </subquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong><span data-mce-mark="1">Compta el nombre de zeros:</span></strong></span></p>
<p><span style="color: #008000;"><strong><span data-mce-mark="1">dècims: 10 →1 zero</span></strong></span></p>
<p><span style="color: #008000;"><strong><span data-mce-mark="1">centèsims: 100 →2 zeros</span></strong></span></p>
<p><span style="color: #008000;"><strong><span data-mce-mark="1">mil·lèsims: 1.000→3 zeros</span></strong></span></p>
<p><span style="color: #008000;"><strong><span data-mce-mark="1">deumil·lèsims: 10.000→4 zeros</span></strong></span></p>
<p><span style="color: #008000;"><strong><span data-mce-mark="1">centmil·lèsims: 100.000→5 zeros</span></strong></span></p>
<p><span style="color: #008000;"><strong>milionèsims: 1000.000→6 zeros. </strong></span></p>]]></text>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10720-8897 -->
 <question type="cloze">
    <name>
      <text>4.01.2.12 Vocabulari truncar/arrodonir</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Fes correspondre, per cada arrodoniment, el nombre de decimals que cal deixar.<br /><br />Per arrodonir als deu mil·lèsims, deixem {1:SHORTANSWER: ~=4} decimals.<br /><br /></span><span style="font-weight: bold; color: #0000ff;">Per arrodonir als dècims, deixem {1:SHORTANSWER: ~=1} decimal.<br /><br /><br /></span><span style="font-weight: bold; color: #0000ff;">Per arrodonir als cent mil·lèsims, deixem {1:SHORTANSWER: ~=5} decimals.<br /><br /></span><span style="font-weight: bold; color: #0000ff;">Per arrodonir als centèsims, deixem {1:SHORTANSWER: ~=2} decimals.<br /><br /></span><span style="font-weight: bold; color: #0000ff;">Per arrodonir als mil·lèsims, deixem {1:SHORTANSWER: ~=3} decimals.<br /></span><br /><br /><br /><span style="font-weight: bold; color: #0000ff;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
  </question>
 
 <!-- resourceid-resourcedataid: 10721-8898 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.21  Truncament Mil·lèsims</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #000099;"><strong>Trunca les quantitats següents als <span style="text-decoration: underline;">mil·lèsims</span>: <br /><span style="color: #ff0000;">Posa punt en lloc de coma</span></strong></span></p>
<table style="background-color: #ffffcc; background-image: none; color: #000099; border: 3px solid #ffcc00; float: none; text-align: center; vertical-align: middle; width: 601px;" border="1" frame="box" rules="all">
<tbody>
<tr>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Quantitat</td>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Truncament</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="50%">{#1}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="50%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="50%">{#3}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="50%">{#4}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_1#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_2#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_3#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_4#bé}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;n_7&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;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n_2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;01&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_4&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_5&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_6&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;00001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_7&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;c_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;n_2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;01&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_4&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;001&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;n_5&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Als mil·lèsims conservem 3 decimals i eliminem els altres.<br /></span></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10722-8899 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.22  Truncament centèsims</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #000099;"><strong>Trunca les quantitats següents als <span style="text-decoration: underline;">centèsims</span>: <br /><span style="color: #ff0000;">Posa punt en lloc de coma</span></strong></span></p>
<table style="background-color: #ffffcc; background-image: none; color: #000099; border: 3px solid #ffcc00; float: none; text-align: center; vertical-align: middle; width: 601px;" border="1" frame="box" rules="all">
<tbody>
<tr>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Quantitat</td>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Truncament</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="50%">{#1}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="50%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="50%">{#3}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="50%">{#4}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
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        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_2#bé}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_3#bé}]]>
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        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: ~=#c_4#bé}]]>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p_1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;p_2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p_3&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;01&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;p_4&lt;/mi&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;a_1&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;53.443&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_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c_3&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;87.203&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_4&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;77.237&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_4&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;77.237&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;9&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Als centèsims conservem 2 decimals i eliminem els altres.<br /></span></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10723-8900 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.31  Arrodonir centèsims</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Arrodoneix les quantitats següents als <span style="text-decoration: underline;">centèsims</span>: </span><br style="color: #0000ff;" /><span style="color: #ff0000;">Posa punt en lloc de coma</span></strong></p>
<table style="background-color: #ffffcc; background-image: none; color: #000099; border: 3px solid #ffcc00; float: none; text-align: center; vertical-align: middle; width: 600px;" border="3" frame="box" rules="all">
<tbody>
<tr>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Quantitat</td>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Arrodoniment</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="50%">{#1}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="50%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="50%">{#3}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="50%">{#4}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"> </span></p>]]></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
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            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_1#bé}]]>
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        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_2#bé}]]>
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        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_3#bé}]]>
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        <wirissubquestion>
            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_4#bé}]]>
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    <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;a_1&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;4.9&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;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;options&gt;&lt;option name="precision"&gt;6&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="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Si és als centèsims, cal fixar-se si la tercera xifra és 0,1,2,3,4 (trunquem) o si és 5,6,7,8,9 (sumem 1 a la xifra dels centèsims).</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10724-8901 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.32  Arrodonir mil·lèsims</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Arrodoneix les quantitats següents als mil·lèsims:</strong> </span><br style="color: #0000ff;" /><span style="font-weight: bold; color: #ff6600;">Posa punt en lloc de coma</span></p>
<table style="width: 100%; border: 4px solid #ffcc00; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Quantitat</td>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Arrodoniment</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="50%">{#1}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="50%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="50%">{#3}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="50%">{#4}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
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            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_3#bé}]]>
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&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;a_1&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&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;c_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;1000&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;0&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;a_2&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&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;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;1000&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;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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c_1&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;0.076&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_2&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;1.446&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_3&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;4.816&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_4&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;0.656&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #008000;">Si és als mil·lèsims, cal fixar-se si el 4t decimal és 0,1,2,3,4 (trunquem) o si és 5,6,7,8,9 (sumem 1 a la xifra dels mil·lèsims).</span></strong></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10725-8902 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.33  Arrodonir dècims</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Arrodoneix les quantitats següents als <span style="text-decoration: underline;">dècims</span>: </span><br style="color: #0000ff;" /><span style="color: #ff0000;">Posa punt en lloc de coma</span></strong></p>
<table style="background-color: #ffffcc; background-image: none; color: #000099; border: 3px solid #ffcc00; float: none; text-align: center; vertical-align: middle; width: 600px;" border="3" frame="box" rules="all">
<tbody>
<tr>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Quantitat</td>
<td style="text-align: center; color: #0000ff;" valign="top" width="50%">Arrodoniment</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="50%">{#1}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="50%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="50%">{#3}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="50%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="50%">{#4}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
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            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_1#bé}]]>
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            <![CDATA[{1:SHORTANSWER: #mira el digit següent~=#c_4#bé}]]>
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&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;a_1&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;10&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;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;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_4&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;0.25035&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3.1452&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;315&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0.16028&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;16&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4.9024&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;490&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_1&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;0.25&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_2&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;3.15&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;c_3&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;0.16&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_4&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;4.9&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;6&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Si és als dècims, cal fixar-se si el segon decimal és 0,1,2,3,4 (trunquem) o si és 5,6,7,8,9 (sumem 1 a la xifra dels dècims).</span></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10726-8903 -->
 <question type="description">
    <name>
      <text>4.01.2.50 TEORIA: Error</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 305px; height: 155px; background-image: none; background-color: #ffffcc;" border="4" frame="void" rules="none" align="center">
<tbody>
<tr>
<td style="background-color: #000066; background-image: none; color: #ff6600; vertical-align: top; border-style: none;" rowspan="1" valign="top" width="50%">
<div style="text-align: center;"><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Error absolut i relatiu</span></div>
</td>
</tr>
<tr align="center">
<td width="50%"><span style="font-size: large; color: #000080;" data-mce-mark="1"><strong><span style="font-size: medium;" data-mce-mark="1">Error absolut</span></strong><br /></span></td>
</tr>
<tr>
<td style="font-weight: bold; text-align: center;" rowspan="1" valign="top" width="50%">
<p><br /><span style="font-size: medium; color: #000080;" data-mce-mark="1">E<sub>A</sub> = <span style="font-size: large;"><strong><span style="color: #ff0000;">|</span></strong></span>nombre - aproximació<span style="font-size: large;"><strong><span style="color: #ff0000;">|</span></strong></span></span></p>
<p> <span style="font-size: small; color: #ff0000;">(en valor absolut: sempre positiu)</span></p>
<p> </p>
</td>
</tr>
<tr>
<td style="font-weight: bold; text-align: center;" valign="top" width="50%">
<p><span style="font-size: medium; color: #000080;" data-mce-mark="1">Error relatiu</span></p>
<p><span style="color: #000080;" data-mce-mark="1">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mrow»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»E«/mi»«mi mathvariant=¨bold¨»R«/mi»«/msub»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«msub»«mi mathvariant=¨bold¨»E«/mi»«mi mathvariant=¨bold¨»A«/mi»«/msub»«mi mathvariant=¨bold¨»Nombre«/mi»«/mfrac»«/mrow»«/mstyle»«/math»</span></p>
</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
  </question>
 
 <!-- resourceid-resourcedataid: 10727-8904 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.51 Error absolut (arrodoniment als dècims)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="color: #000080;"><strong>Arrodoneix als dècims les quantitats següents, i calcula l'error absolut (arrodonit als mil·lèsims)</strong></span><br style="color: #0000ff;" /><br style="color: #0000ff;" /><span style="color: #ff6600;"><strong>Posa punt en lloc de coma</strong></span><br style="color: #0000ff;" /><br /></p>
<table style="width: 400px; background-color: #ffffcc; border: 1px solid #ffcc00;" border="1">
<tbody>
<tr>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Quantitat</span></strong></span></td>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Arrodoniment</span></strong></span></td>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">Error absolut</span></strong></span></td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_1</td>
<td align="center">{#1}</td>
<td align="center">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_2</td>
<td align="center">{#3}</td>
<td align="center">{#4}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_3</td>
<td align="center">{#5}</td>
<td align="center">{#6}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_4</td>
<td align="center">{#7}</td>
<td align="center">{#8}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
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            <![CDATA[{1:SHORTANSWER:    ~=#c_1#bé}]]>
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            <![CDATA[{1:SHORTANSWER:    ~=#c_2#bé}]]>
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            <![CDATA[{1:SHORTANSWER:    ~=#d_3#bé}]]>
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            <![CDATA[{1:SHORTANSWER:    ~=#d_4#bé}]]>
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    <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;a_1&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&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;c_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;10&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;0&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;a_2&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&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;c_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;10&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;0&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;a_3&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&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;c_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;10&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;0&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;a_4&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;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&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;b_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&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;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;10&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;0&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;d_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_3&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_4&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&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;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math 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name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<div style="text-align: center;"><span style="color: #006600;">Per trobar l'error absolut, n'hi ha prou amb fer la resta:</span><br style="color: #006600;" /><span style="font-weight: bold; color: #006600;">quantitat - arrodoniment</span><br style="color: #006600;" /><span style="color: #006600;">i treure el signe.</span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10728-8905 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.52 Error absolut</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="color: #0000ff;"><strong><span style="font-size: small;">Arrodoneix als centèsims les quantitats següents, i calcula l'error absolut (arrodonit als cent mil·lèsims)</span></strong></span><br style="color: #0000ff;" /><br style="color: #0000ff;" /><strong><span style="color: #ff0000;">Posa punt en lloc de coma</span></strong><br style="color: #0000ff;" /><br /></p>
<table style="width: 400px; background-color: #ffffcc; border: 1px solid #ffcc00;" border="1">
<tbody>
<tr>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;"><strong><span style="font-size: small;">Quantitat</span></strong></span></td>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;"><strong><span style="font-size: small;">Arrodoniment</span></strong></span></td>
<td style="color: #0000ff; text-align: center;" valign="top" width="33%"><span style="color: #0000ff;"><strong><span style="font-size: small;">Error absolut</span></strong></span></td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_1</td>
<td style="color: #0000ff;" valign="top" width="33%">{#1}</td>
<td style="color: #0000ff;" valign="top" width="33%">{#2}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_2</td>
<td style="color: #0000ff;" valign="top" width="33%">{#3}</td>
<td style="color: #0000ff;" valign="top" width="33%">{#4}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_3</td>
<td style="color: #0000ff;" valign="top" width="33%">{#5}</td>
<td style="color: #0000ff;" valign="top" width="33%">{#6}</td>
</tr>
<tr>
<td style="color: #0000ff;" valign="top" width="33%">#a_4</td>
<td style="color: #0000ff;" valign="top" width="33%">{#7}</td>
<td style="color: #0000ff;" valign="top" width="33%">{#8}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
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open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;c_3&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced close="|" 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    <hint format="html">
      <text><![CDATA[<div style="text-align: center;"><span style="color: #006600;">Per trobar l'error absolut, n'hi ha prou amb fer la resta:</span><br style="color: #006600;" /><span style="font-weight: bold; color: #006600;">quantitat - arrodoniment</span><br style="color: #006600;" /><span style="color: #006600;">i treure el signe.</span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10729-8906 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.55 Error relatiu</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="justify"><span style="color: #000080;"><strong>1. Arrodoneix als centèsims les quantitats següents.</strong></span><br /><span style="color: #000080;"><strong>2. Calcula l'error absolut(s'escriu amb tants decimals com la quantitat).</strong></span><br /><span style="color: #000080;"><strong>3. Calcula  l'error relatiu (arrodonit als cent mil·lèsims)</strong></span><br style="color: #0000ff;" /><span style="color: #ff6600;"><strong>Posa punt en lloc de coma</strong></span></div>
<p> </p>
<table style="width: 612px; height: 144px; color: #000099; background-color: #ffffcc; background-image: none; float: none; text-align: center; vertical-align: middle; border-style: solid; border-color: #ffcc00; border-width: 3px;" border="3" frame="box" rules="all">
<tbody>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Quantitat</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Arrodoniment</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Error absolut</strong></span></td>
<td><span style="color: #0000ff;"><strong><span style="font-size: small;">Error relatiu</span></strong></span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_1</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#1}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#2}</span></td>
<td>{#3}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_2</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#4}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#5}</span></td>
<td>{#6}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_3</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#7}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#8}</span></td>
<td>{#9}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_4</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#10}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#11}</span></td>
<td><span style="font-size: small;">{#12}</span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>12.0000000</defaultgrade>
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name="casSession"&gt;&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<div><span style="font-weight: bold; color: #008000;">Per trobar l'error absolut, n'hi ha prou amb fer la resta:</span></div>
<div><span style="color: #008000;"><span style="font-weight: bold;">quantitat – arrodoniment </span><span style="font-weight: bold;">i treure el signe.</span></span><br /><br style="font-weight: bold; color: #003300;" /><span style="color: #008000;"><span style="font-weight: bold;">Per trobar l'error relatiu, </span><span style="font-weight: bold;">dividim l'error absolut per la quantitat inicial.</span></span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10730-8907 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.56 Error relatiu (arrodonir dècims)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="justify"><span style="color: #000080;"><strong>1. Arrodoneix als dècims les quantitats següents.</strong></span><br /><span style="color: #000080;"><strong>2. Calcula l'error absolut(s'escriu amb tants decimals com la quantitat).</strong></span><br /><span style="color: #000080;"><strong>3. Calculeu l'error relatiu (arrodonit als deu mil·lèsims)</strong></span><br style="color: #0000ff;" /><span style="color: #ff6600;"><strong>Posa punt en lloc de coma</strong></span></div>
<p> </p>
<table style="width: 612px; height: 144px; color: #000099; background-color: #ffffcc; background-image: none; float: none; text-align: center; vertical-align: middle; border-style: solid; border-color: #ffcc00; border-width: 3px;" border="3" frame="box" rules="all">
<tbody>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Quantitat</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Arrodoniment</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #0000ff;"><strong>Error absolut</strong></span></td>
<td><span style="color: #0000ff;"><strong><span style="font-size: small;">Error relatiu</span></strong></span></td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_1</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#1}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#2}</span></td>
<td>{#3}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_2</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#4}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#5}</span></td>
<td>{#6}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_3</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#7}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#8}</span></td>
<td>{#9}</td>
</tr>
<tr>
<td valign="top" width="33%"><span style="font-size: small;">#a_4</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#10}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#11}</span></td>
<td><span style="font-size: small;">{#12}</span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>12.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;d_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&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;/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;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_4&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;2.239&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.529&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3.092&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;31&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3.45&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;35&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;0.0026&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;e_4&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;0.0145&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;6&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<div style="text-align: justify;"><span style="font-weight: bold; color: #003300;">Per trobar l'error absolut, n'hi ha prou amb fer la resta:</span></div>
<div style="text-align: center;"><span style="font-weight: bold; color: #003300;">quantitat - arrodoniment </span></div>
<div style="text-align: justify;"><span style="font-weight: bold; color: #003300;">i treure el signe.</span><br /><br style="font-weight: bold; color: #003300;" /><span style="font-weight: bold; color: #003300;">Per trobar l'error relatiu, </span><span style="font-weight: bold; color: #003300;">dividim l'error absolut per la quantitat inicial.</span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10731-8908 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.57 Error relatiu: 2 arrodoniments</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="justify"><span style="color: #000080;"><strong>1. Arrodoneix les quantitats següents.</strong></span><br /><span style="color: #000080;"><strong>2. Calcula l'error absolut(s'escriu amb tants decimals com la quantitat).</strong></span><br /><span style="color: #000080;"><strong>3. Calcula l'error relatiu (arrodonit als cent mil·lèsims)</strong></span><br style="color: #0000ff;" /><span style="color: #ff6600;"><strong>Posa punt en lloc de coma</strong></span></div>
<p> </p>
<table style="width: 612px; height: 144px; color: #000099; background-color: #ffffcc; background-image: none; float: none; text-align: center; vertical-align: middle; border-style: solid; border-color: #ffcc00; border-width: 3px;" border="3" frame="box" rules="all">
<tbody>
<tr>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;"><strong>Quantitat</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;"><strong>Arrodoniment</strong></span></td>
<td valign="top" width="33%"><span style="font-size: small; color: #000080;"><strong>Error absolut</strong></span></td>
<td><span style="color: #000080;"><strong><span style="font-size: small;">Error relatiu</span></strong></span></td>
</tr>
<tr>
<td valign="top" width="33%"><strong><span style="font-size: small; color: #000080;">#a_1 als centèsims</span></strong></td>
<td valign="top" width="33%"><span style="font-size: small;">{#1}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#2}</span></td>
<td>{#3}</td>
</tr>
<tr>
<td valign="top" width="33%"><strong><span style="font-size: small; color: #000080;">#a_2 als mil·lèsims</span></strong></td>
<td valign="top" width="33%"><span style="font-size: small;">{#4}</span></td>
<td valign="top" width="33%"><span style="font-size: small;">{#5}</span></td>
<td>{#6}</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
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&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;a_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&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;c_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;100&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;0&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;a_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&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;c_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;1000&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;0&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;a_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&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;c_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;100&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;0&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;a_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&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;c_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mn&gt;100&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;0&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;d_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c_1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&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;d_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&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;d_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c_3&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&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;d_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mrow&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c_4&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&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;e_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;d_1&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;d_2&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e_3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;d_3&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;e_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;d_4&lt;/mi&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100000&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&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;/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;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b_4&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;1.5925&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;159&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0.61038&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;61&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.9909&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;299&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4.3377&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;434&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_1&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;1.59&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_2&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;0.61&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_3&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;2.99&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_4&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;4.34&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;d_1&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;0.0024845&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;d_2&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;0.00037993&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;d_3&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;0.0009491&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;d_4&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;0.0023229&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;e_1&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;0.0015602&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;e_2&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;0.00062244&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;e_3&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;0.00031732&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;e_4&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;0.00077664&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&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;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<div style="text-align: justify;"><span style="font-weight: bold; color: #003300;">Per trobar l'error absolut, n'hi ha prou amb fer la resta:</span><span style="font-weight: bold; color: #003300;">quantitat - arrodoniment </span><span style="font-weight: bold; color: #003300;">i treure el signe.</span><br /><br style="font-weight: bold; color: #003300;" /><span style="font-weight: bold; color: #003300;">Per trobar l'error relatiu, </span><span style="font-weight: bold; color: #003300;">dividim l'error absolut per la quantitat inicial.</span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10732-8909 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.61 ErrorAbsolutRelatiu AproximarGravetat</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;" data-mce-mark="1"><strong>Quin error absolut i quin error relatiu cometem si aproximem l'acceleració de la gravetat g als #a? <span style="color: #ff6600;" data-mce-mark="1">Arrodoniu als deumil·lèsims (4 decimals)</span></strong></span></p>
<p><span style="color: #0000ff;" data-mce-mark="1"><strong>Al nivell del mar, g és aproximadament de 9,80665 m/s².</strong></span></p>
<p><em><span style="color: #0000ff;">L'acceleració de la gravetat terrestre g, genera sobre una massa m una força F = mg que fa "caure" la massa cap al terra.</span></em></p>]]></text>
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      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="normal">e</mi><mi>r</mi><mi>r</mi><mi>o</mi><mi>r</mi><mo>&#160;</mo><mi>a</mi><mi>b</mi><mi>s</mi><mi>o</mi><mi>l</mi><mi>u</mi><mi>t</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi mathvariant="normal">e</mi><mi>r</mi><mi>r</mi><mi>o</mi><mi>r</mi><mo>&#160;</mo><mi>r</mi><mi mathvariant="normal">e</mi><mi>l</mi><mi>a</mi><mi>t</mi><mi mathvariant="normal">i</mi><mi>u</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></text>
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name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #008000;">Si arrodonim als #a, l'arrodoniment de g és #g1;</span></strong></p>
<p><strong><span style="color: #008000;">l'error absolut és el valor absolut de #g – #g1</span></strong></p>
<p><strong><span style="color: #008000;">i per trobar l'error relatiu es divideix l'error absolut per #g. </span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10733-8910 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.65 Determinar valor a partir EA i ER</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Si, aproximant un nombre, l'error absolut és de #e1 i l'error relatiu és de #e2, quin és el valor d'aquest nombre?</strong></span></p>
<p><span style="color: #ff6600;"><strong>Arrodoneix als centèsims</strong></span></p>]]></text>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
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    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong>Si N és el nombre,  </strong></span>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msub mathcolor=¨#007F00¨»«mi mathvariant=¨bold-italic¨ mathcolor=¨#007F00¨»E«/mi»«mi mathvariant=¨bold¨»R«/mi»«/msub»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mfrac mathcolor=¨#007F00¨»«msub»«mi mathvariant=¨bold¨»E«/mi»«mi mathvariant=¨bold¨»A«/mi»«/msub»«mi mathvariant=¨bold¨»N«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»§#8658;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#007F00¨»N«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«mfrac mathcolor=¨#007F00¨»«msub»«mi mathvariant=¨bold¨»E«/mi»«mi mathvariant=¨bold¨»A«/mi»«/msub»«msub»«mi mathvariant=¨bold¨»E«/mi»«mi mathvariant=¨bold¨»R«/mi»«/msub»«/mfrac»«/math»</p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10734-8911 -->
 <question type="description">
    <name>
      <text>4.01.2.80 TEORIA: Notació científica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 396px; height: 281px; background-image: url('http://www.insmilaifontanals.cat/none'); background-color: #ffffcc;" border="4" frame="void" rules="none" align="center">
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<div style="text-align: center;"><span style="font-size: large;" data-mce-mark="1"><span data-mce-mark="1"><span style="color: #ffff99;" data-mce-mark="1"><span data-mce-mark="1">Notació científica</span></span> </span></span></div>
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<p style="text-align: left;"><span style="font-size: small; color: #000080;" data-mce-mark="1">Es tracta d'escriure el nombre així:   </span><em style="color: #000080; font-size: small; text-align: left; line-height: 1.4;"><strong> a,b x 10<sup>n</sup></strong></em></p>
<p style="text-align: left;"><em style="color: #000080; font-size: small; text-align: left; line-height: 1.4;"><strong>351 000 : 3,51·10<sup>5 </sup>;  0,0426 = 4,26 · 10<sup>-2</sup></strong></em></p>
<p style="text-align: left;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong>a=</strong> la primera xifra no nul·la.</span>    </span></p>
<p style="text-align: left;"><span style="font-size: small; color: #000080;" data-mce-mark="1"><span style="font-size: small; color: #000080;" data-mce-mark="1"><strong>b=</strong>és la resta del nombre que volem escriure en notació científica.</span></span></p>
<p style="text-align: left;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><strong>n=</strong>La quantitat de vegades que la coma s'ha desplaçat des de les unitats. Positiu si és cap a l'esquerra, negatiu si és cap a la dreta.</span></p>
<p style="text-align: left;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><span style="color: #000080; font-size: small;" data-mce-mark="1">A la calculadora, </span></span><span style="color: #000080; font-size: small;" data-mce-mark="1">es pot triar treballar sempre amb notació científica: Mode→SCI.</span></p>
<p style="text-align: left;"><span style="color: #000080; font-size: small;" data-mce-mark="1"><span style="color: #000080; font-size: small;" data-mce-mark="1">L'exponent del 10 s'escriu amb la tecla EXP</span></span></p>
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 <!-- resourceid-resourcedataid: 10735-8912 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.81 DeDecimalA NotacióCientífica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Escriu els nombres en notació científica:</span></strong></p>
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<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> </span></strong></span></td>
<td align="left" valign="bottom">{#1}</td>
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<td align="left" valign="middle"><strong><span style="font-size: small; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«/mrow»«/mstyle»«/math»<br /></span></strong></td>
<td align="center" valign="top">{#2}</td>
<td align="center" valign="middle"><span style="color: #000080;" data-mce-mark="1"><strong><span style="font-size: small;" data-mce-mark="1">· 10</span></strong></span></td>
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<td align="left" valign="middle"><strong><span style="font-size: small; color: #000080;"> </span></strong></td>
<td align="center" valign="top"> </td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> </span></strong></span></td>
<td align="left" valign="bottom"> <span>{#3}</span></td>
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<td align="left" valign="middle"><strong> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«/mrow»«/mstyle»«/math»</strong></td>
<td align="center" valign="top"> <span data-mce-mark="1">{#4}</span></td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> · 10</span></strong></span></td>
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<td align="left" valign="middle"><strong><span style="font-size: small; color: #000080;"> </span></strong></td>
<td align="center" valign="top"> </td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> </span></strong></span></td>
<td align="left" valign="bottom"> <span>{#5}</span></td>
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<td align="left" valign="middle"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«/mrow»«/mstyle»«/math»<br /></strong></td>
<td align="center" valign="top"> <span data-mce-mark="1">{#6}</span></td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> · 10</span></strong></span></td>
<td align="left" valign="bottom"> </td>
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<td align="left" valign="middle"><strong><span style="font-size: small; color: #000080;"> </span></strong></td>
<td align="center" valign="top"> </td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;"> </span></strong></span></td>
<td align="left" valign="bottom"> <span>{#7}</span></td>
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<td align="left" valign="middle"><strong><span style="font-size: small; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»n«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«/mrow»«/mstyle»«/math»<br /></span></strong></td>
<td align="center" valign="top"> <span>{#8}</span></td>
<td align="center" valign="middle"><span style="color: #000080;"><strong><span style="font-size: small;">· 10 </span></strong></span></td>
<td align="left" valign="bottom"> </td>
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&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="ca"&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;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&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;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol 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definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/apply&gt;&lt;/apply&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;k1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;/msup&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;e2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n2&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;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n2&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n2&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;10001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n2&lt;/mi&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/apply&gt;&lt;/apply&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;e3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n3&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;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n3&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n3&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;10001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n3&lt;/mi&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/apply&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n4&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;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n4&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n4&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;10001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n4&lt;/mi&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mn&gt;100&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/apply&gt;&lt;/apply&gt;&lt;/apply&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;n1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mi&gt;k1&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;2995&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.995&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2995.&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;n2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e2&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;46305&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4.6305&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&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;n3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c3&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e3&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;22873&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.2873&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&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;n4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c4&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;e4&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;0.002897&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.897&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&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;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;assertion name="check_scientific_notation"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;10&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 10736-8913 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.81 Notació científica a decimal(a sup1)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #006600;">#b</sup></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4.7796&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_11&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;477.96&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Cal moure la coma #b_1 posicions cap a la dreta.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10737-8914 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.82 Notació científica a decimal_2(a sup1)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #006600;">#b</sup></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4.7796&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_11&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;477.96&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Cal moure la coma #b_1 posicions cap a la dreta.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10738-8915 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.83 Notació científica a decimal_3(a sup1)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #0000ff;">#b</sup></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4.7796&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_11&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;477.96&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000; font-weight: bold;">Cal moure la coma #b_1 posicions cap a la dreta.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10739-8916 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.84 Notació científica a decimal(a inf1)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #0000ff;">#b</sup></span><br /><br /><span style="font-weight: bold; color: #ff6600;">La resposta s'escriu amb punt i no amb coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;3&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;3&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2.8757&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;0.0028757&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000; font-weight: bold;">Cal moure la coma #b_1 posicions cap a l'esquerra.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10740-8917 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.85 Notació científica a decimal(a inf1)_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #0000ff;">#b</sup></span><br /><br /><span style="font-weight: bold; color: #ff6600;">La resposta s'escriu amb punt i no amb coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;3&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;3&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;2.8757&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;0.0028757&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Cal moure la coma #b_1 posicions cap a l'esquerra.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10741-8918 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.2.86 Notació científica a decimal(a inf1)_3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Escriviu el nombre decimal que correspon a: #a · 10</span><sup style="font-weight: bold; color: #0000ff;">#b</sup></span><br /><br /><span style="font-weight: bold; color: #ff6600;">La resposta s'escriu amb punt i no amb coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r_13</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;&amp;amp;verbar;&amp;quot; open=&amp;quot;&amp;amp;verbar;&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;01&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_3&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_4&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;.&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0001&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c_5&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4.7668&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;r_13&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;0.00047668&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;#r_13&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Cal moure la coma #b_1 posicions cap a l'esquerra.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10742-8919 -->
 <question type="multianswerwiris">
    <name>
      <text>4.01.2.91 DeNotacióCientífica a Decimal</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong><span data-mce-mark="1">Escriu els nombres en notació decimal:</span></strong></span></p>
<table style="border-color: #ffcc00; border-width: 4px; height: 147px; width: 300px; background-color: #ffffcc;" border="4">
<tbody>
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<td><span style="font-size: small; color: #000080;"> </span></td>
<td align="left" valign="bottom"><span style="font-size: small; color: #000080;"> </span></td>
</tr>
<tr>
<td valign="top">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msup mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»10«/mn»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/msup»«/mrow»«/mstyle»«/math»</td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;">={#1}</span></td>
</tr>
<tr>
<td valign="top"><span style="font-size: small; color: #000080;"> </span></td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;"> </span></td>
</tr>
<tr>
<td valign="top"><span style="font-size: small; color: #000080;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msup mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»10«/mn»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«/msup»«/mrow»«/mstyle»«/math»</span></td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;" data-mce-mark="1">={#2}</span></td>
</tr>
<tr>
<td valign="top"><span style="font-size: small; color: #000080;"> </span></td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;"> </span></td>
</tr>
<tr>
<td valign="top"><span style="font-size: small; color: #000080;"> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»3«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msup mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»10«/mn»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mn mathvariant=¨bold¨»3«/mn»«/mrow»«/msup»«/mrow»«/mstyle»«/math»</span></td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;" data-mce-mark="1">={#3}</span></td>
</tr>
<tr>
<td valign="top"><span style="font-size: small; color: #000080;"> </span></td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;"> </span></td>
</tr>
<tr>
<td valign="top">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msup mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨ mathcolor=¨#00007F¨»10«/mn»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»e«/mi»«mn mathvariant=¨bold¨»4«/mn»«/mrow»«/msup»«/mrow»«/mstyle»«/math»</td>
<td align="left" valign="middle"><span style="font-size: small; color: #000080;">={#4}</span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#n1}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#n2}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#n3}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#n4}]]>
        </wirissubquestion>
    </wirissubquestions>
    <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="ca"&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;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&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;1001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n1&lt;/mi&gt;&lt;mn&gt;1000&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;e1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n1&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;10001&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99999&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;n1&lt;/mi&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;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;apply&gt;&lt;csymbol 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  </question>
 
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 <question type="category"><category><text>4t ESO/4.01 NOMBRES/4.01.3 Nombres irracionals</text></category></question>
 
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      <text>4.01.3.10  TEORIA: Nombres irracionals</text>
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      <text><![CDATA[<div align="center"> </div>
<table style="color: #000066; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; width: 396px; height: 109px; background-image: url('http://www.insmilaifontanals.cat/moodle/none'); background-color: #ffffcc;" border="4" frame="void" rules="none" align="center">
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<td style="color: #ff6600; vertical-align: top; border-style: none; text-align: center; background-image: none; background-color: #000066;" colspan="2" valign="top" width="50%"><span style="font-size: medium; color: #ffff99;">Nombres irracionals</span></td>
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<div style="text-align: center; font-weight: bold;"><span style="color: #000080; font-size: small;" data-mce-mark="1">Un nombre irracional no es pot expressar com a fracció; t</span><span style="color: #000080; font-size: small;" data-mce-mark="1">é infinits decimals no periòdics.</span></div>
<div style="text-align: center; font-weight: bold;"><span style="color: #000080; font-size: small;" data-mce-mark="1">La unió del conjunt dels nombres racionals i del conjunt dels nombres irracionals constitueix el conjunt dels nombres reals ℝ</span></div>
<div style="text-align: center; font-weight: bold;"><span style="color: #000080;" data-mce-mark="1">  <br /></span></div>
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      <text>4.01.3.11 Distingir racionals i irracionals</text>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">El nombre:<br /><br /><br />113,232 121 212 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:irracional ~=racional}</span><br style="font-weight: bold; color: #003300;" /><br /><span style="font-weight: bold; color: #003300;">23,511 512 513 514 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:racional ~=irracional}</span><br /><br /><span style="font-weight: bold; color: #003300;">3,224 321 213 121 312 131 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:irracional ~=racional}</span><br /><br /><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mn»3«/mn»«mo»*«/mo»«mi»§#960;«/mi»«mo»§nbsp;«/mo»«mo»-«/mo»«mo»§nbsp;«/mo»«mn»4«/mn»«/math»</span><span style="font-weight: bold;"> és</span> <span style="font-weight: bold; color: #003300;">{1:MULTICHOICE:racional ~=irracional}</span><br /><br style="font-weight: bold; color: #003300;" /><br /></p>]]></text>
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      <text><![CDATA[<p><span style="font-weight: bold;">Cal fixar-se en si és periòdic o no.</span></p>]]></text>
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    <name>
      <text>4.01.3.20 Calculadora irracionals</text>
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      <text><![CDATA[<table style="border: 4px solid #000099; height: 463px; width: 474px; background-color: #ffffcc;" border="4">
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<td style="background-color: #000099;" colspan="2" align="center"><span style="font-size: large; color: #ffff99;">Calculadora amb irracionals</span></td>
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<td><img src="@@PLUGINFILE@@/calculadoraR.jpg" width="213" height="427" alt="calculadora R" /></td>
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<p style="text-align: justify;"><span style="color: #000000; font-size: small;"><strong>Funciona igual que amb racionals.</strong></span></p>
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<p style="text-align: justify;"><span style="color: #ff0000; font-size: small;"><strong>Per les arrels tenim les tecles √, shift x<sup>3</sup>, shift ^, «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mroot mathcolor=¨#FF0000¨»«mrow/»«mo mathvariant=¨bold¨»§#9600;«/mo»«/mroot»«/math» </strong></span></p>
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<p style="text-align: justify;"><span style="color: #000080; font-size: small;"><strong>Per escriure el nombre π, cal teclejar <span style="color: #ff0000;">shift</span> i <span style="color: #ff0000;">EXP</span>.</strong></span></p>
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</table>]]></text>
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</file><file 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</file><file 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</file>    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
  </question>
 
 <!-- resourceid-resourcedataid: 10746-8143 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.21 Arrel quadrada</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Calcula l'arrel cúbica de #a als centèsims</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/apply&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;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mroot&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mroot&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;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;21&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;2.76&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;/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="precision"&gt;6&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong>Es fa amb la calculadora </strong></span><strong style="line-height: 1.4;"><span style="color: #008000;">amb la tecla</span> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msqrt mathcolor=¨#007F00¨/»«/math»</strong></p>
<p><strong><span style="color: #008000;">i s'arrodoneix</span></strong></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10747-8921 -->
 <question type="cloze">
    <name>
      <text>4.01.3.21 Distingir racionals i irracionals</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">El nombre:<br /><br /><br />113,232 121 212 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:irracional ~=racional}</span><br style="font-weight: bold; color: #003300;" /><br /><span style="font-weight: bold; color: #003300;">23,511 512 513 514 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:racional ~=irracional}</span><br /><br /><span style="font-weight: bold; color: #003300;">3,224 321 213 121 312 131 ... és</span><span style="font-weight: bold; color: #003300;"> {1:MULTICHOICE:irracional ~=racional}</span><br /><br /><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mn»3«/mn»«mo»*«/mo»«mi»§#960;«/mi»«mo»§nbsp;«/mo»«mo»-«/mo»«mo»§nbsp;«/mo»«mn»4«/mn»«/math»</span><span style="font-weight: bold;"> és</span> <span style="font-weight: bold; color: #003300;">{1:MULTICHOICE:racional ~=irracional}</span><br /><br style="font-weight: bold; color: #003300;" /><br /></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">Cal fixar-se en si és periòdic o no.</span></p>]]></text>
    </generalfeedback>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
  </question>
 
 <!-- resourceid-resourcedataid: 10748-8144 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.22 Arrel cúbica</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Calcula l'arrel cúbica de #a als mil·lèsims</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mroot&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mroot&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/apply&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;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mroot&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mroot&gt;&lt;/mrow&gt;&lt;/mfenced&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;mn&gt;1000&lt;/mn&gt;&lt;/mfrac&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;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;352&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;7.061&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;/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="precision"&gt;6&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #008000;">Es fa amb la calculadora: </span></strong></p>
<ul>
<li><strong><span style="color: #008000;">amb la tecla «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mroot mathcolor=¨#007F00¨»«mrow/»«mn mathvariant=¨bold¨»3«/mn»«/mroot»«/math»</span></strong></li>
<li><strong><span style="color: #008000;">amb les tecles shift, ^, 3</span></strong></li>
</ul>
<p><strong><span style="color: #008000;">i s'arrodoneix</span></strong></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10749-8145 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.23 Arrel d'índex qualsevol</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #0000ff;">Calcula l'arrel d'index #i de #a als deumil·lèsims</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;999&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;i&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;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mroot&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi&gt;i&lt;/mi&gt;&lt;/mroot&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/apply&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;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;mo&gt;*&lt;/mo&gt;&lt;mroot&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi&gt;i&lt;/mi&gt;&lt;/mroot&gt;&lt;/mrow&gt;&lt;/mfenced&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;mn&gt;10000&lt;/mn&gt;&lt;/mfrac&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;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;155&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;i&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;9&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;1.7513&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;/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="precision"&gt;6&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #008000;">Es fa amb la calculadora: </span></strong></p>
<ul>
<li><strong><span style="color: #008000;">amb la tecla «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mroot mathcolor=¨#007F00¨»«mrow/»«mo»§#9600;«/mo»«/mroot»«/math»: s'escriu #i <strong><span>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mroot mathcolor=¨#007F00¨»«mrow/»«mo»§#9600;«/mo»«/mroot»«/math»#a</span></strong></span></strong></li>
<li><strong><span style="color: #008000;">amb les tecles shift, ^, #i: s'escriu #a shift ^ #i</span></strong></li>
</ul>
<p><strong><span style="color: #008000;">i s'arrodoneix</span></strong></p>
<p> </p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10750-8922 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.31 CàlculsIrracionals ÀreaCercle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #006600; font-weight: bold;"><span style="color: #0000ff;">Quina és l'àrea d'un cercle de #a cm de diàmetre? Arrodoniu als mil·lèsims</span>.</span><br /><br /><span style="color: #ff6600;"><span style="font-weight: bold;">Format de la resposta:</span> el nombre arrodonit (amb punt i no coma) i sense unitats de longitud.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#r</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;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;t&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mfenced&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_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;·&lt;/mo&gt;&lt;pi/&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r_1&lt;/mi&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;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;r_2&lt;/mi&gt;&lt;mn&gt;1000&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;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;9&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_1&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;63.617&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_2&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;63617&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&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;63.617&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 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;/math&gt;]]&gt;&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="precision"&gt;8&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong><span style="color: #008000;">L'àrea d'un cercle de radi r es calcula amb A = π·r<sup>2</sup> </span></strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10751-8923 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.32 CàlculsIrracionals RadiCercle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="color: #006600; font-weight: bold;"><span style="color: #0000ff;">Quin és el radi enter d'una circumferència de #a cm de perímetre?</span> </span><br /><br /><span style="color: #ff6600; font-weight: bold;"><span style="font-weight: bold;">Format de la resposta: </span>nombre enter sense unitats de longitud.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#r</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;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;pi/&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&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;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;56.549&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&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;9&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;#r&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="precision"&gt;6&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #008000;">El perímetre d'una circumferència de radi r  és P = 2πr. Cal aïllar el radi.</span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10752-8148 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.33 CàlculsIrracionals DiagonalQuadrat</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;">Quant mesura la diagonal d'un quadrat de costat #a?</span><br /><br /><span style="color: #ff6600; font-weight: bold;"><span style="font-weight: bold;"><span style="font-weight: bold;">Format de la resposta: arrel <span style="text-decoration: underline;">simplificada</span></span></span></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#r</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;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;nbsp;&lt;/mo&gt;&lt;mi&gt;aleatori&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;99&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;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&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;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;57&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&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;57&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&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;#r&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&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;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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #008000;"><strong><img src="@@PLUGINFILE@@/diagonalquadrat.jpg" width="103" height="106" style="display: block; margin-left: auto; margin-right: auto;" /></strong></span></p>
<p><span style="color: #008000;"><strong>Com que la diagonal és la hipotenusa del triangle rectangle, cal aplicar el teorema de Pitàgores «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfenced mathcolor=¨#007F00¨»«mrow»«mi mathvariant=¨bold¨»a«/mi»«mo mathvariant=¨bold¨»=«/mo»«msqrt»«msup»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»+«/mo»«msup»«mi mathvariant=¨bold¨»c«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/mrow»«/mfenced»«/math»; els catets b i c són tots dos iguals a #a.</strong></span></p>]]></text>
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 <!-- resourceid-resourcedataid: 10753-8149 -->
 <question type="calculated">
    <name>
      <text>4.01.3.34 Calcul d'arrels amb decimals</text>
    </name>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calculeu l'arrel de {a} als centèsims</span>.<br /><br /><span style="font-weight: bold; color: #ff6600;">Poseu un punt en lloc de la coma.</span></p>]]></text>
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    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Es fa sense problemes amb la calculadora. Només cal arrodonir, si s'escau! </span></p>]]></text>
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    <text>sqrt({a})</text>
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<text></text>
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    <name><text>a</text>
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 <!-- resourceid-resourcedataid: 10754-8150 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.34 CàlculsIrracionals Perímetre rectangle</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;" data-mce-mark="1"><img src="@@PLUGINFILE@@/camp.jpeg" width="200" height="150" alt="camp" style="display: block; margin-left: auto; margin-right: auto;" /></span></p>
<p style="text-align: justify;"><span style="font-weight: bold; color: #0000ff;" data-mce-mark="1">Volem tancar un camp rectangular de «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msqrt mathcolor=¨#0000FF¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«/msqrt»«/math» m de llarg i «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msqrt mathcolor=¨#0000FF¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«/math» m d'ample. Quant mesura, arrodonida als centímetres, la tanca?</span></p>
<p><br /><br /></p>]]></text>
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</file> 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      <text><![CDATA[<p><span style="color: #006600;"><strong><br /><br /></strong></span></p>]]></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#r</text>
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&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;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;17&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;21&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;23&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;26&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&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;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;13&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r&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;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;16.06&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 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;/math&gt;]]&gt;&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;8&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>
    <hint format="html">
      <text><![CDATA[<p><span style="font-size: small; color: #008000;"><strong>Cal calcular el perímetre (és la suma dels 4 costats)  i arrodonir</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10755-8152 -->
 <question type="calculated">
    <name>
      <text>4.01.3.35 Calcul d'arrels amb decimals_3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Calculeu l'arrel de {a} als centèsims</span>.<br /><br /><span style="font-weight: bold; color: #ff6600;">Poseu un punt en lloc de la coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;">Es fa sense problemes amb la calculadora. Només cal arrodonir, si s'escau! </span></p>]]></text>
    </generalfeedback>
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      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback>
      <text></text>
    </incorrectfeedback>
<answer fraction="100">
    <text>sqrt({a})</text>
    <tolerance>0.01</tolerance>
    <tolerancetype>2</tolerancetype>
    <correctanswerformat>1</correctanswerformat>
    <correctanswerlength>2</correctanswerlength>
    <feedback format="html">
<text></text>
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</answer>
    <unitgradingtype>0</unitgradingtype>
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<dataset_definitions>
<dataset_definition>
    <status><text>private</text>
</status>
    <name><text>a</text>
</name>
    <type>calculated</type>
    <distribution><text>uniform</text>
</distribution>
    <minimum><text>11</text>
</minimum>
    <maximum><text>999</text>
</maximum>
    <decimals><text>0</text>
</decimals>
    <itemcount>20</itemcount>
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           <number>1</number>
           <value>2.4</value>
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        <dataset_item>
           <number>2</number>
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        </dataset_item>
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           <number>3</number>
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           <number>4</number>
           <value>354</value>
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           <number>5</number>
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           <number>7</number>
           <value>643</value>
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           <number>9</number>
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        </dataset_item>
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           <number>10</number>
           <value>962</value>
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           <number>11</number>
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           <number>17</number>
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        <dataset_item>
           <number>18</number>
           <value>543</value>
        </dataset_item>
        <dataset_item>
           <number>19</number>
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        <dataset_item>
           <number>20</number>
           <value>479</value>
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    </dataset_items>
    <number_of_items>20</number_of_items>
</dataset_definition>
</dataset_definitions>
  </question>
 
 <!-- resourceid-resourcedataid: 10756-8924 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.35 Càlculs amb irracionals: altura triangle equilat</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p> <img src="@@PLUGINFILE@@/tiangleequilataltura.jpg" width="150" height="129" alt="triangleequilataltura" style="color: #006600; font-weight: bold; line-height: 1.4; display: block; margin-left: auto; margin-right: auto;" /></p>
<p><span style="color: #0000ff; font-weight: bold;">Quant mesura l'altura d'un triangle equilàter de #a hm de costat?</span><br /><br /><span style="color: #ff6600; font-weight: bold;"><span style="font-weight: bold;"><span style="font-weight: bold;">Format de la resposta: arrodonida als deu mil·lèsims.</span></span></span></p>]]></text>
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      <text>#r</text>
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    </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;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&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&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;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&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;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;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;h&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&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&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;4.3301&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 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;/math&gt;]]&gt;&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;9&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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #006600;"><strong>Cal aplicar el teorema de Pitàgores.<br /><br /></strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10757-8925 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.3.36 Càlculs amb irracionals: apotema</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p> <img src="@@PLUGINFILE@@/pentagon.jpg" width="200" height="192" alt="pentagon" style="display: block; margin-left: auto; margin-right: auto;" /></p>
<p><span style="color: #0000ff; font-weight: bold;">Quant mesura l'apotema d'un pentàgon de #a m de costat i de radi #r?</span><br /><br /><span style="color: #ff6600; font-weight: bold;"><span style="font-weight: bold;"><span style="font-weight: bold;">Format de la resposta: arrodonida als mil·lèsims.</span></span></span></p>]]></text>
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    </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;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;r1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;sin&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;54&lt;/mn&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;sin&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;72&lt;/mn&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mfrac&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&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;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r1&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;10&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;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&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;s&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;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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;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;7&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&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;6.&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;s&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;4.873&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 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;s&lt;/mi&gt;&lt;/math&gt;]]&gt;&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;9&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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #006600;"><strong>Cal aplicar el teorema de Pitàgores.<br /><br /></strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- categoryid: 966 -->
 <question type="category"><category><text>4t ESO/4.01 NOMBRES/4.01.4 Els nombres reals</text></category></question>
 
 <!-- resourceid-resourcedataid: 10758-8155 -->
 <question type="description">
    <name>
      <text>4.01.4.10 TEORIA: Els nombres reals</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: center;"><img src="@@PLUGINFILE@@/nombresreals.jpg" width="400" height="297" /></p>]]></text>
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 <!-- resourceid-resourcedataid: 10759-8926 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.21 Calcul: operacions amb arrels</text>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #000080;">Calcula el resultat de l'expressió</span><br style="font-weight: bold; color: #0000ff;" /><span class="nolink" style="color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«msqrt mathcolor=¨#00007F¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfenced mathcolor=¨#00007F¨»«mrow»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨»-«/mo»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/msqrt»«/mrow»«/mfenced»«/mstyle»«/math»</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">als mil·lèsims.</span><br style="font-weight: bold; color: #0000ff;" /><br /><span style="font-weight: bold; color: #ff6600;">Poseu un punt en lloc de la coma.</span></p>]]></text>
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    <answer fraction="100" format="plain_text">
      <text>#r</text>
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        <text></text>
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&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;a&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;b&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&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;c&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;e_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;&amp;quot;&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;e_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;&amp;quot;&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_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&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_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&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&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;·&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&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&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;50.778&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 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;/math&gt;]]&gt;&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="precision"&gt;10&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold;"><span style="color: #006600;">Empreu la calculadora sense eliminar decimals.</span><br style="color: #006600;" /><span style="color: #006600;">Arrodoniu als mil·lèsims = 3 xifres després del punt.<br /><br /></span></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10760-8927 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.22 Calcul: operacions amb arrels</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;"> <span style="color: #000080;">Calcula el resultat de l'expressió</span></span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«msqrt mathcolor=¨#00007F¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfenced mathcolor=¨#00007F¨»«mrow»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨»+«/mo»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/msqrt»«/mrow»«/mfenced»«/mstyle»«/math»</span><br style="font-weight: bold; color: #0000ff;" /><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">als centèsims.</span><br style="font-weight: bold; color: #0000ff;" /><br /><span style="font-weight: bold; color: #ff6600;">Posa un punt en lloc de la coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;"> </span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r</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;a&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;b&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&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 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&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;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;16&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&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;e_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;ms&gt;a&lt;/ms&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&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;e_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&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&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;128.99&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 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;/math&gt;]]&gt;&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="precision"&gt;9&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
 
 <!-- resourceid-resourcedataid: 10761-8928 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.23 Calcul: operacions amb arrels</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #000080;">Calcula el resultat de l'expressió</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfenced mathcolor=¨#00007F¨»«mrow»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«/msqrt»«mo mathvariant=¨bold¨»+«/mo»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfenced mathcolor=¨#00007F¨»«mrow»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«/msqrt»«mo mathvariant=¨bold¨»-«/mo»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«msup mathcolor=¨#00007F¨»«mfenced mathcolor=¨#00007F¨»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/msqrt»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/mrow»«/mstyle»«/math»</span><br style="font-weight: bold; color: #0000ff;" /><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">als centèsims.</span><br style="font-weight: bold; color: #0000ff;" /><br /><span style="font-weight: bold; color: #ff6600;">Posa un punt en lloc de la coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;"> </span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
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    <answer fraction="100" format="plain_text">
      <text>#r</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;a&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;b&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&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;c&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;e_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;&amp;quot;&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;e_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;&amp;quot;&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;r&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;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;·&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;mn&gt;100&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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&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;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&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;e_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;ms&gt;a&lt;/ms&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&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;e_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&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&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;6.&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;#r&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="precision"&gt;9&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
 
 <!-- resourceid-resourcedataid: 10762-8929 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.23 Calcul: operacions amb arrels_</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #000080;">Calcula  </span><br style="font-weight: bold; color: #0000ff;" /><span class="nolink" style="color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«msqrt mathcolor=¨#00007F¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msup mathcolor=¨#00007F¨»«mfenced mathcolor=¨#00007F¨»«mrow»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/msqrt»«mo mathvariant=¨bold¨»+«/mo»«msqrt»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/msqrt»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/mrow»«/mstyle»«/math»</span><br style="font-weight: bold; color: #0000ff;" /><span style="font-weight: bold; color: #000080;">als deu mil·lèsims.</span><br style="font-weight: bold; color: #0000ff;" /><br /><span style="font-weight: bold; color: #ff6600;">Posa un punt en lloc de la coma.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="plain_text">
      <text>#r</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;a&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;b&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;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&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;c&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&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;e_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;&amp;quot;&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;e_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;&amp;quot;&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;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;10000&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;·&lt;/mo&gt;&lt;msup&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&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;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;17&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&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;e_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;ms&gt;a&lt;/ms&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&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;e_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;msqrt&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/msqrt&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msqrt&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;/mfenced&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&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;758.53&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;#r&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="precision"&gt;9&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&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>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold;"><span style="color: #006600;">Empreu la calculadora sense eliminar decimals.</span><br style="color: #006600;" /><span style="color: #006600;">Deu mil·lèsims = 4 xifres després del punt.</span><br /></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10763-8159 -->
 <question type="description">
    <name>
      <text>4.01.4.50 TEORIA: Intervals</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<table style="border: 4px solid #000099; margin-left: auto; margin-right: auto; width: 400px; background-color: #ffffcc;" border="4">
<tbody>
<tr>
<td style="background-color: #000099;" align="center" valign="middle"><strong><span style="font-size: medium; color: #ffff99;">INTERVALS</span></strong></td>
</tr>
<tr>
<td style="background-color: #000099;" align="center" valign="middle"><strong><span style="font-size: medium; color: #ffff99;">Vores</span></strong></td>
</tr>
<tr>
<td>
<p><span style="color: #0000ff;"><strong><span style="font-size: small;">Obertes () si el nombre no està inclòs: (3  correspon a 3&lt;x</span></strong></span></p>
<p><span style="color: #0000ff;"><strong><span style="font-size: small;">Tancades [ ] si el nombre està inclòs: [3 correspon a 3≤x</span></strong></span></p>
</td>
</tr>
<tr>
<td style="background-color: #000099;" align="center" valign="middle"><strong><span style="font-size: medium; color: #ffff99;">Intervals finits</span></strong></td>
</tr>
<tr>
<td>
<p><span style="color: #0000ff; font-size: small;"><strong>Són tots els nombres compresos entre dos nombres:</strong></span></p>
<p><span style="color: #0000ff; font-size: small;"><strong><span style="color: #0000ff;">(-5,-1] correspon a -5 &lt; x ≤ 1</span></strong></span></p>
</td>
</tr>
<tr>
<td style="background-color: #000099;" align="center" valign="middle"><strong><span style="font-size: medium; color: #ffff99;">Intervals infinits</span></strong></td>
</tr>
<tr>
<td>
<p><span style="color: #0000ff;"><strong><span style="font-size: small;">Son tots els nombres més grans (o més petits) que un nombre):</span></strong></span></p>
<p><span style="color: #0000ff;"><strong><span style="font-size: small;">(-∞,4) correspon a x &lt; 4;   [-2, +∞) correspon a -2 ≤ x</span></strong></span></p>
</td>
</tr>
</tbody>
</table>]]></text>
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 <!-- resourceid-resourcedataid: 10764-8160 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.51 Tradueix interval tancat a inequació</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Escriu en forma d'inequació l'interval: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»[«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»]«/mo»«/mstyle»«/math»</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;a&lt;/mi&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mi&gt;x&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;/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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;17&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mn&gt;17&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;/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;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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Com que les vores són tancades, cal posar més gran/més petit o IGUAL.</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10765-8161 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.52 Tradueix semiobert tancat a inequació</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Escriu en forma d'inequació l'interval: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»[«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»)«/mo»«/mstyle»«/math»</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;a&lt;/mi&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&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;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;16&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;2&lt;/mn&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mn&gt;16&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;/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;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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;" data-mce-mark="1"><strong>Com que la vora de #a és tancada, s'escriu #a ≤ </strong></span></p>
<p><span style="color: #000080;"><strong>Com que la vora de #b és oberta, s'escriu &lt;#b</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10766-8162 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.53 Tradueix semiobert tancat a inequació_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Escriu en forma d'inequació l'interval: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»]«/mo»«/mstyle»«/math»</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;x&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;/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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mn&gt;3&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;/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;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>
    <hint format="html">
      <text><![CDATA[<p><strong style="color: #000080; line-height: 1.4;">Com que la vora de #a és oberta, s'escriu #a&lt;</strong></p>
<p><strong style="color: #000080; line-height: 1.4;"><strong>Com que la vora de #b és tancada, s'escriu  ≤ #b</strong></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10767-8163 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.61 Tradueix interval - infinit semiobert a inequació</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Escriu en forma d'inequació l'interval: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#8734;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»]«/mo»«/mstyle»«/math»</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;x&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;/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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;17&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;22&lt;/mn&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;⩽&lt;/mo&gt;&lt;mn&gt;17&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;/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;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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Com que la vora de #b és tancada, s'escriu x≤ #b perquè x pot ser igual a #b.</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 10768-8164 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.01.4.62 Tradueix interval + infinit obert a inequació</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Escriu en forma d'inequació l'interval: «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#8734;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»)«/mo»«/mstyle»«/math»</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</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="ca"&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;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&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;a&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&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;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;22&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;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&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;/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;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>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Com que la vora de #a és oberta, s'escriu a&lt;x perquè x no pot ser igual a #a.</strong></span></p>]]></text>
    </hint>
  </question>
 </quiz>
