<?xml version="1.0" encoding="UTF-8"?>
<quiz>
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 <question type="category"><category><text>Normal Probability Distributions/Normal Distributions: Finding Probabilities</text></category></question>
 
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 <question type="multianswerwiris">
    <name>
      <text>Question 20</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-family: 'times new roman', times, serif;">Health Club Schedule</span></strong></p>
<p><span style="font-family: 'times new roman', times, serif;">The time per workout an athlete uses a stairclimber is normally distributed, with a mean of 20 minutes and a standard deviation of 5 minutes.  An athlete is randomly selected.</span></p>
<ol>
<li><img style="float: right; margin: 3px;" src="@@PLUGINFILE@@/Question%2020.jpeg" alt="" width="155" height="150" /><span style="font-family: 'times new roman', times, serif;">Find the probability to three significant figures that the athlete uses a stairclimber for less than 17 minutes.  {#1}<br /></span></li>
<li><span style="font-family: 'times new roman', times, serif;">Find the probability to three significant figures that the athlete uses a stairclimber between 20 and 28 minutes.  {#2}<br /><br /></span></li>
<li><span style="font-family: 'times new roman', times, serif;">Find the probability to three significant figures that the athlete uses a stairclimber more than 30 minutes.  {#3}</span></li>
</ol>]]></text>
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