<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 556 -->
 <question type="category"><category><text>Normal Probability Distributions/Normal Distributions: Finding Probabilities</text></category></question>
 
 <!-- resourceid-resourcedataid: 5598-5013 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 18</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-family: 'times new roman', times, serif;">Utility Bills</span></strong></p>
<p><span style="font-family: 'times new roman', times, serif;">The monthly utility bills in a city are normally distributed with a mean of $100 and a standard deviation of $12.  A utility bill is randomly selected.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;"><img style="float: right; margin: 3px;" src="@@PLUGINFILE@@/Question%2018.jpeg" alt="" width="225" height="150" />Find the probability to three significant figures that the utility bill is less than $70.  {#1}<br /></span></li>
<li><span style="font-family: 'times new roman', times, serif;">Find the probability to three significant figures that the utility bill is between $90 and $120.  {#2}<br /><br /></span></li>
<li><span style="font-family: 'times new roman', times, serif;">Find the probability to three significant figures that the utility bill is more than $140.  {#3}</span></li>
</ol>]]></text>
<file name="Question 18.jpeg" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:NM:=0.00621}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=0.750}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=0.000429}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 </quiz>
