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  <name>Hypothesis Testing of Single Mean and Single Proportion: Introduction</name>
  <metadata>
  <md:version>1.6</md:version>
  <md:created>2008/06/06 17:18:16 GMT-5</md:created>
  <md:revised>2008/10/27 15:13:22.848 GMT-5</md:revised>
  <md:authorlist>
      <md:author id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:author>
      <md:author id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <md:maintainer id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:maintainer>
    <md:maintainer id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:maintainer>
    <md:maintainer id="cnxorg">
      <md:firstname/>
      
      <md:surname>Connexions</md:surname>
      <md:email>cnx@cnx.org</md:email>
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  </md:maintainerlist>
  
  <md:keywordlist>
    <md:keyword>elementary</md:keyword>
    <md:keyword>statistics</md:keyword>
  </md:keywordlist>

  <md:abstract/>
</metadata>
  <content><section id="element-137"><name>Student Learning Objectives</name>
<para id="element-667">
By the end of this chapter, the student should be able to:
</para>

<list id="list67">
<item>differentiate between Type I and Type II Errors</item>
<item>Describe hypothesis testing in general and in practice</item>
<item>Conduct and interpret hypothesis tests for a single population
mean, population standard deviation known.</item>
<item>Conduct and interpret hypothesis tests for a single population
mean, population standard deviation unknown.</item>
<item>Conduct and interpret hypothesis tests for a single population
proportion.</item></list></section><section><name>Introduction</name>
    <para id="delete_me">The job of a statistician is to make statistical inferences about populations based on
samples taken from the population. <term src="#coninter">Confidence intervals</term> are one way to estimate a
population parameter. Another way to make a statistical inference is to make a decision
about a parameter. For instance, a car dealer advertises that its new small truck gets 35
miles per gallon, on the average. A tutoring service claims that its method of tutoring helps
90% of its students get an A or a B. A company says that women managers in their
company earn an average of $60,000 per year.</para><para id="element-818">A statistician will make a decision about these claims. This process is called <term src="#hypotest">"hypothesis
testing."</term> A hypothesis test involves collecting data from a sample and evaluating the data.
Then, the statistician makes a decision as to whether or not the data supports the
claim that is made about the population.</para><para id="element-224">In this chapter, you will conduct hypothesis tests on single means and single proportions.
You will also learn about the errors associated with these tests. </para><para id="element-616">Hypothesis testing consists of two contradictory hypotheses or statements, a decision
based on the data, and a conclusion. To perform a hypothesis test, a statistician will:
<list id="list-1" type="enumerated">
<item>Set up two contradictory hypotheses.</item>
<item>Collect sample data (in homework problems, the data or summary statistics will be
given to you).</item>
<item>Determine the correct distribution to perform the hypothesis test.</item>
<item>Analyze sample data by performing the calculations that ultimately will support one
of the hypotheses.</item>
<item>Make a decision and write a meaningful conclusion.</item>
</list></para><note>To do the hypothesis test homework problems for this chapter and later
chapters, make copies of the appropriate special solution sheets. See the Table of
Contents topic "Solution Sheets".</note>  </section> 
  </content>
 <glossary>


  <definition id="coninter">
    <term>Confidential Interval</term>
    <meaning>
  An interval estimate for unknown population parameter. This depends on: 
<list type="bulleted" id="confint1">
<item>The desired confidence level.</item> <item>What is known for the distribution information (for ex., known variance).</item><item>Gathering from the sampling information.</item></list>
    </meaning>
  </definition>

 <definition id="hypotest">
    <term>Hypothesis Testing</term>
    <meaning>
   Based on sample evidence procedure to determine whether the hypothesis stated is a reasonable statement and cannot be rejected, or is unreasonable and should be rejected.
    </meaning>
  </definition>
</glossary> 
</document>
