MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C5D411.E2142230" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C5D411.E2142230 Content-Location: file:///C:/9A8354D2/Chapter13Project2.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Measures of Variation Project

Measures of Variation Project        &= nbsp;           &nbs= p;    Names____________________

            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;    ____________________

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Measures of variation reflect the amount of “scatter” of a set of data.&nb= sp; The more “scattered” the data, the larger the measures of variation will be.  The most c= ommon measure of variation is the sample standard deviation.

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Example:  Following is a sample of exam scor= es for a History class.  Find the sam= ple standard deviation.

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Sample of Sc= ores: {65, 70, 72, 78, 84, 89, 96)

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Ob= servation

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Total

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Example:  Following is a sample of exam scor= es for an English class.  Find the sa= mple standard deviation.

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Sample of Sc= ores: {82, 83, 84, 84, 85, 86, 86, 99)

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Ob= servation

x

De= viation

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Total

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 =

 

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