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<document xmlns="http://cnx.rice.edu/cnxml" xmlns:md="http://cnx.rice.edu/mdml/0.4" xmlns:m="http://www.w3.org/1998/Math/MathML" xmlns:bib="http://bibtexml.sf.net/" id="m11166">

  <name>Areas of Normal Distributions</name>

  <metadata>
  <md:version>2.4</md:version>
  <md:created>2003/05/14</md:created>
  <md:revised>2003/07/11 15:06:17.313 GMT-5</md:revised>
  <md:authorlist>
    <md:author id="dmlane">
      <md:firstname>David</md:firstname>
      
      <md:surname>Lane</md:surname>
      <md:email>lane@rice.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <md:maintainer id="dmlane">
      <md:firstname>David</md:firstname>
      
      <md:surname>Lane</md:surname>
      <md:email>lane@rice.edu</md:email>
    </md:maintainer>
    <md:maintainer id="mjeanes">
      <md:firstname>Matthew</md:firstname>
      
      <md:surname>Jeanes</md:surname>
      <md:email>mjeanes@rice.edu</md:email>
    </md:maintainer>
  </md:maintainerlist>
  
  <md:keywordlist>
    <md:keyword>areas</md:keyword>
    <md:keyword>under</md:keyword>
    <md:keyword>normal</md:keyword>
    <md:keyword>distribution</md:keyword>
    <md:keyword>standard</md:keyword>
    <md:keyword>deviation</md:keyword>
  </md:keywordlist>

  <md:abstract>Ways to compute the area under a normal distribution using a non-calculus approach.</md:abstract>
</metadata>



  <content>
    
    <para id="intro">
      Areas under portions of a normal distribution can be computed by
      using calculus. Since this is a non-mathematical treatment of
      statistics, we will rely on computer programs and tables to
      determine these areas. <cnxn target="area1" strength="9"/> shows a normal distribution with a mean of 50 and a
      standard deviation of 10. The shaded area between 40 and 60
      contains 68% of the distribution.
    </para>
    
    <figure id="area1">
      <media type="image/png" src="area1.png"/>
      <caption>
	Normal distribution with a mean of 50 and standard deviation
	of 10. 68% of the area is within one standard deviation (10)
	of the mean (50).
      </caption>
    </figure>
    
    <para id="fig2">
      <cnxn target="area2" strength="9"/> shows a normal
      distribution with a mean of 100 and a standard deviation of
      20. As in Figure 1, 68% of the distribution is within one
      standard deviation of the mean.
    </para>
    
    <figure id="area2"> 
      <media type="image/png" src="area2.png"/>
      <caption>
	Normal distribution with a mean of 100 and standard
	deviation of 20. 68% of the area is within one standard
	deviation (20) of the mean (100). 
      </caption>
    </figure>

    <para id="para3">
      The normal distributions shown in <cnxn target="area1" strength="9"/> and <cnxn target="area2" strength="9"/>
      are specific examples of the general rule
      that 68% of the area of any normal distribution is within one
      standard deviation of the mean.
      <note type="General Rule">
	68% of the area of any normal distribution is within one
	standard deviation of the mean
      </note>
    </para>
    
    <para id="fig3">
      <cnxn target="area3" strength="9"/> shows a normal
      distribution with a mean of 75 and a standard deviation of
      10. The shaded area contains 95% of the area and extends from
      55.4 to 94.6. For all normal distributions, 95% of the area is
      within 1.96 standard deviations of the mean. For quick
      approximations, it is sometimes useful to round off and use 2
      rather than 1.96 as the number of standard deviations you need
      to extend from the mean so as to include 95% of the area.
    </para>

    <figure id="area3">
      <media type="image/png" src="area3.png"/>
      <caption>
	A normal distribution with a mean of 75 and a standard
	deviation of 10. 95% of the area is within 1.96 standard
	deviations of the mean.
      </caption>
    </figure>

    <para id="aboveapp1">
      The Java applet "Calculate Area for a given X " can be used to
      calculate areas under the normal distribution. Use it to find
      the proportion of a normal distribution with a mean of 90 and
      a standard deviation of 12 that is above 110. Set the mean to
      90 and the standard deviation to 12. Then enter "110" in the
      box to the right of the radio button "Above." At the bottom of
      the display you will see that the shaded area is 0.04779. See
      if you can use the applet to find that the area between 115
      and 120 is 0.012401.
    </para>

    <figure id="applet1">  
      <media type="image/png" src="applet1.png"/>
      <caption>
	Display from applet showing the area above 110.
      </caption>
    </figure>

    <para id="aboveapp2">
      The applet "Calculate X for a given Area" works in
      reverse. For example, say you wanted to find the score
      corresponding to the 75th percentile of a normal distribution
      with a mean of 90 and a standard deviation of 12. You enter 90
      for the mean and 12 for the standard deviation. Then, enter
      0.75 for the shaded area and click the "Below" button. The
      area below 98.0939 is 0.75.
    </para>
    
    <figure id="applet2">
      <media type="image/png" src="applet2.png"/>
      <caption>
	Display from applet showing that the 75th percentile is 98.093.
      </caption>
    </figure>

  </content>
</document>
