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 <question type="category"><category><text>4t ESO/4.06 TRIGONOMETRIA/4.06.2 Semblança/4.06.2.3 Problemes de semblança</text></category></question>
 
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 <question type="description">
    <name>
      <text>4.06.2.3.10 TEORIA: ESCALES</text>
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      <text><![CDATA[<table style="color: #0000ff; border: 4px solid #000066; float: none; text-align: left; vertical-align: top; height: 214px; width: 400px; background-image: url('http://www.insmilaifontanals.cat/none'); background-color: #ffffcc;" border="4" frame="box" rules="all" align="center">
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<td style="color: #ffcc00; vertical-align: top; border-style: none; width: 100%; background-image: url('http://www.insmilaifontanals.cat/none'); background-color: #000066;" valign="top"><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Escales</span></td>
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<p><strong><span style="font-size: small; color: #000080;" data-mce-mark="1">Per indicar la raó de semblança </span></strong></p>
<p><strong><span style="font-size: small; color: #000080;" data-mce-mark="1">entre la distància real i la distància en el plànol , </span></strong></p>
<p><strong><span style="font-size: small; color: #000080;" data-mce-mark="1">s'escriu així:     <span style="font-size: medium;" data-mce-mark="1">Escala = 1:R</span></span></strong></p>
<p><strong><span style="font-size: small; color: #000080;" data-mce-mark="1">on R és el quocient Distància real/Distància en el plànol.</span></strong></p>
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<p><span style="font-size: small;" data-mce-mark="1"><em>Exemple: Si 60 m reals són 3cm en el pla, «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathvariant=¨italic¨ mathsize=¨12px¨»«mfrac»«mrow»«mn»6«/mn»«mo».«/mo»«mn»000«/mn»«mi»c«/mi»«mi»m«/mi»«/mrow»«mrow»«mn»3«/mn»«mi»c«/mi»«mi»m«/mi»«/mrow»«/mfrac»«mo»=«/mo»«mn»2000«/mn»«/mstyle»«/math»</em></span></p>
<p><span style="font-size: small;"><em>i l'escala és 1/2.000</em></span></p>
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    <penalty>0.0000000</penalty>
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 <question type="multianswerwiris">
    <name>
      <text>4.06.2.3.11Q Dibuix a escala</text>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #0000cc;">En un triangle rectangle, un dels angles aguts fa #k º, i la hipotenusa #h metres.</span><br style="font-weight: bold; color: #0000cc;" /><span style="font-weight: bold; color: #0000cc;">Feu un dibuix a escala per deduir quant fan els dos catets:</span><br style="font-weight: bold; color: #0000cc;" /><br style="font-weight: bold; color: #0000cc;" /><span style="font-weight: bold; color: #0000cc;">Catet més petit: {#1} m</span><br style="font-weight: bold; color: #0000cc;" /><span style="font-weight: bold; color: #0000cc;">Catet més gran: {#2} m</span><br /><br /><span style="color: #ff6600; font-weight: bold;">Poseu el resultat en forma de nombre natural.</span><br /><br /></p>]]></text>
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xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;h&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;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&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;mfrac&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;k&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;pi/&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;mn&amp;gt;180&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&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 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      <text><![CDATA[<p><span style="font-weight: bold; font-size: large; color: #ff0000;">No és gens útil fer trampa!</span></p>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
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 <question type="multianswerwiris">
    <name>
      <text>4.06.2.3.12Q Escala d'un mapa</text>
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      <text><![CDATA[<table style="color: #0000ff; float: none; text-align: left; vertical-align: top; border: 3px solid #ffcc00; width: 449px; height: 176px; background-image: none; background-color: #ffffcc;" border="3" frame="box" rules="all">
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<p><span style="color: #000080;"><strong><span style="font-size: small;"><img 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" width="120" height="132" /></span></strong></span></p>
</td>
<td style="background-image: none; border-color: #ffcc00; border-width: 3px; text-align: justify; vertical-align: middle; border-style: solid;" valign="top" width="50%">
<p><span style="color: #000080;"><strong><span style="font-size: small;">En un mapa, s'ha representat una distància de #k metres per #c centímetres.</span></strong></span></p>
</td>
</tr>
<tr>
<td style="background-image: none; border-color: #ffcc00; border-width: 3px; text-align: left; vertical-align: middle; border-style: solid;" valign="top" width="50%">
<p><span style="color: #000080;"><strong><span style="font-size: small;">L'escala del mapa és</span></strong></span></p>
<p align="center"><span style="color: #000080;"><strong><span style="font-size: small;">1 : {#1}</span></strong></span></p>
</td>
<td style="background-image: none; border-color: #ffcc00; border-width: 3px; text-align: justify; vertical-align: middle; border-style: solid;" valign="top" width="50%">
<p><span style="color: #000080;"><strong><span style="font-size: small;">En el mapa, dos pobles distants de #m metres queden separats per {#2} cm</span></strong></span></p>
</td>
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</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<div align="justify"><span style="color: #006600;"> </span></div>]]></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_1}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA: ~=#r_2}]]>
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    <wirisquestion>
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    <hint format="html">
      <text><![CDATA[<div align="justify"><span style="color: #006600;"><strong>Per trobar l'escala, cal transformar els #k metres a centímetres i després dividir aquest resultat #k_1 per #c. Es tracta de reduir a la unitat.</strong><br /><strong>Per trobar la distància, n'hi ha prou amb aplicar la proporcionalitat (regla de 3)</strong><br /></span></div>]]></text>
      <shownumcorrect></shownumcorrect>
      <clearwrong></clearwrong>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 11264-9374 -->
 <question type="description">
    <name>
      <text>4.06.2.3.20 TEORIA: DISTÀNCIES INACCESSIBLES</text>
    </name>
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<tbody>
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<td style="color: #ffcc00; vertical-align: top; border-style: none; width: 100%; background-image: url('http://www.insmilaifontanals.cat/none'); background-color: #000066;" valign="top"><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Distàncies inaccessibles</span></td>
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width="311" height="161" /></span></strong></p>
</td>
<td style="background-image: none; text-align: center; vertical-align: middle; border-style: none;" valign="top" width="NaNpx"> </td>
</tr>
<tr>
<td style="width: 400px;" align="center" valign="middle">
<p><span style="font-size: small;"><strong><span style="color: #000080;"><span style="font-size: small;">Si es coneixen les distàncies en un dels triangles, </span></span></strong></span></p>
<p><span style="font-size: small;"><strong><span style="color: #000080;"><span style="font-size: small;">es poden deduir en l'altre.</span></span></strong></span></p>
<p><span style="font-size: medium; color: #ff0000;"><strong><span>Sovint cal emprar el teorema de Pitàgores</span></strong></span></p>
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    <name>
      <text>4.06.2.3.21Q Altura edifici amb ombra</text>
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      <text><![CDATA[<p> </p>
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" width="220" height="110" /></td>
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<div align="justify"><span style="color: #0000ff; font-size: small;"><strong>L'ombre de la torre és de #o1 m. A la mateixa hora, un pal de #m2 m projecta una ombra de #o2 m.</strong></span></div>
<div align="justify"> </div>
<div align="justify">
<div align="center"><span style="color: #0000ff; font-size: small;"><strong>Quina alçada té la torre?</strong></span><br /><span style="color: #0000ff; font-size: small;"><strong><br /></strong></span></div>
<p align="center"><span style="font-size: small;"><span style="font-size: small;"><strong><span style="font-size: small; color: #ff6600;">Format:</span>  </strong></span></span><span style="font-size: small;">metres als dècims</span></p>
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<span style="color: #0000ff;"><strong><br /></strong><strong><br /></strong></span></div>]]></text>
    </questiontext>
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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>#sol</text>
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        <text></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="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;o1&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;300&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;800&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;m2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;o2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;250&lt;/mn&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;m2&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;o2&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;m1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;o1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m2&lt;/mi&gt;&lt;/mrow&gt;&lt;mi&gt;o2&lt;/mi&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;sol&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;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&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;/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;m2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o2&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;1.01&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0.71&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;mo&gt;,&lt;/mo&gt;&lt;mi&gt;o1&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;1014.3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;713&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;1014.3&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;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: #003300;"><strong>Com que els triangles són semblants, els costats homòlegs són proporcionals i, si x és l'alçada de la torre :</strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfrac mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»x«/mi»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfrac mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»m«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»o«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»</p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 11266-9376 -->
 <question type="shortanswerwiris">
    <name>
      <text>4.06.2.3.51Q Problema superfície semblant</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Per pintar les parets d'una habitació rectangular de #l m de llarg, #a m d'ample i #h m d'alt, s'han utilitzat #k kilos de pintura.</strong></span></p>
<p><span style="color: #000080;"><strong>Quants kilos de pintura calen per pintar les parets d'una habitació semblant si fa #l2 m de llarg?</strong></span></p>
<p><img 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nJb3/7217+OwQ4z7EsdODzHNQMWbzWFC8kCF9hAAj4QM86b4ASrRrRRmY8ndgPABvnXuYd1cIAhxMYIeScuC45sL/tRW6H0/PdCGAYvTWjDkA3BcRIVclCDnRufD5coQyAuTYg2fIgRVahBFrKNiTAE4p+eWEOeVE8jDNxgEpOIRcRpsWO7eokRV2hFx5WxeyJ0IvS+6LIpVpGFHezhG1kGLzR2zS1CQQkeKbjH3fWRd25JJM12qEQ+FjJnlSKfYT7iLBdCUoaPJJgWt1hBRXbFRnxUVCabuMkCerIsUeLbIfcoSjn+kY5S3BTENinKMsZRjm6DyA0/GRtI7uuNI+QkxNwiM4/YSmm/BCYu58eTYnbFVciMpC1JOUNmWhCWRYyPL7e4zCx205Sg22VZdPTCWk4zddj0mjOfySZDVvxzlJ0E3R9X4yAJBhOeLCOmOCkZIkPiE20SSWdMyDjLf4KTWno0aNUE6iaF7i4kE2DoVBJqUJRMIKLzHIpD/weAi3o0ozshKDwh6tGPUktoIt2jRUtaUpA2BaMUXeJKWdpSl6rxo/Er40poylOJkoqlMhFfS3hKVIyetKNEhaBSi8pUoyK0qVCNqlR9Oi6pWvWqQLWpSZCK1a5GVatb9apYW5rVk6pkrGPlKk7Nqla0TrWtJj2qW68K15ayda5fJWlS74rXos60pOCwq1ybulOs6nUCabron+L61LcONaI4/atiKyXYxqL1sTRFWGUtK9bDElWzjLVsYunqWZb77qunZj2rRynmV5ReNrVtpexiaSqVwnYVrGEFLGIV1VqhXVSyfg1tijJL2b361rCbHS5gQQtUkJC2prAlLm9321zXfpW2qVWtdKe72bqStae4ze1ydzva0Tr1uJEt7W9zwtftmnetziWthcLLT6a+V7jezaqTSMRW9a42sNWNr35HFCf6doVC+UWt8SBIJgFZ6Kjz9W+AhUahBl8pQhA+E0v0GxwL80hL5mKVhTFznw57uMFBG2eIvXjiOJm4xVfCzEV4NjXDaFhLDi7xuWCM4JbwCJCA2xc2sVRgIlNokUbusWQQPN+HwC1eRZIJjwXULxEp1cfz5W/5giyQZFiOCMsjtpiRr0zg+2iZnjTmFz17DCQyt6nMDM6xnP/GEqFtWcpKJrGOvbjfPJPoz/Uh1YvwnGcfM7TMU6aqYUQU4f3qec+LRrSh2NsUKzuYJWYGM6TrKGM3ZdlJV/5xdj9mITkXmsgrHvVJSj0nNn9Y1S5jNaAnbeCjMjpIBYa1MV9k5lK3WdfuwnShUxsQACH/C0dJRkNPTm5iMS4wAgIADhgAAgAEAAAAAAAAAAAAGEJveSB3aXRoIFBhaW50YnJ1c2guZ2lmAA4ZAAIABgAAAAAAAAAAABlCb3kgd2l0aCBQYWludGJydXNoYi5naWYAADs=" /></p>
<p><span style="color: #000080;"><strong><span style="color: #ff6600;">Format:</span> </strong></span>arrodonit als centèsims</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;l&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;650&lt;/mn&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;450&lt;/mn&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;201&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;260&lt;/mn&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;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;a&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;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;nr&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;dr&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;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;nr&lt;/mi&gt;&lt;mi&gt;dr&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;integers/&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;l2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;l&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;S1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&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;S2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&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;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&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;k1&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;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;6&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;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mfenced&gt;&lt;mfrac&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mi&gt;k1&lt;/mi&gt;&lt;/mfrac&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;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;mi&gt;k&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&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;l&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;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;mn&gt;4.98&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.66&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2.34&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;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;mfrac&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mn&gt;6&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;S1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;S2&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;35.755&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;48.667&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;k&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;12.&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;16.33&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;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>Primer es calcula la raó de semblança:</strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»r«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»l«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»l«/mi»«/mrow»«/mfrac»«/mrow»«/mstyle»«/math»</p>
<p><span style="color: #000080;"><strong>Com que la raó entre les longituds és r, la raó entre les superfícies pintades és r<sup>2</sup>.</strong></span></p>]]></text>
    </hint>
  </question>
 </quiz>
