<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Homoscedasticity of data using Cochran C test in JMP in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238757#M47181</link>
    <description>&lt;P&gt;A quick way to check for a statistic or model is to select Help &amp;gt; Statistics Index. The items are listed alphabetically and you can jump to a group of items starting with a particular character by typing that character. Cochran's C test is not available.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The Wikipedia entry for &lt;A href="https://en.wikipedia.org/wiki/Cochran%27s_C_test" target="_self"&gt;Cochran's C Test&lt;/A&gt; shows that this computation is pretty straight-forward so you could compute it by hand or with a script.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Note that JMP provides other tests for homoscedasticity in the Oneway platform. Select Analyze &amp;gt; Fit Y by X. Assign your data columns to the Y and X roles and click OK. Click the red triangle and select Unequal Variances.&lt;/P&gt;</description>
    <pubDate>Tue, 17 Dec 2019 13:21:16 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2019-12-17T13:21:16Z</dc:date>
    <item>
      <title>Homoscedasticity of data using Cochran C test in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238749#M47179</link>
      <description>&lt;P&gt;How to evaluate Homoscedasticity of data&amp;nbsp; by using Cochran C test in JMP?&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2019 12:26:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238749#M47179</guid>
      <dc:creator>rajesh</dc:creator>
      <dc:date>2019-12-17T12:26:01Z</dc:date>
    </item>
    <item>
      <title>Re: Homoscedasticity of data using Cochran C test in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238757#M47181</link>
      <description>&lt;P&gt;A quick way to check for a statistic or model is to select Help &amp;gt; Statistics Index. The items are listed alphabetically and you can jump to a group of items starting with a particular character by typing that character. Cochran's C test is not available.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The Wikipedia entry for &lt;A href="https://en.wikipedia.org/wiki/Cochran%27s_C_test" target="_self"&gt;Cochran's C Test&lt;/A&gt; shows that this computation is pretty straight-forward so you could compute it by hand or with a script.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Note that JMP provides other tests for homoscedasticity in the Oneway platform. Select Analyze &amp;gt; Fit Y by X. Assign your data columns to the Y and X roles and click OK. Click the red triangle and select Unequal Variances.&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2019 13:21:16 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238757#M47181</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2019-12-17T13:21:16Z</dc:date>
    </item>
    <item>
      <title>Re: Homoscedasticity of data using Cochran C test in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238760#M47182</link>
      <description>Thanks, Followed the steps you mentioned but unable to see Unequal variance option by clicking red triangle. Please suggest.</description>
      <pubDate>Tue, 17 Dec 2019 13:00:19 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238760#M47182</guid>
      <dc:creator>rajesh</dc:creator>
      <dc:date>2019-12-17T13:00:19Z</dc:date>
    </item>
    <item>
      <title>Re: Homoscedasticity of data using Cochran C test in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238769#M47185</link>
      <description>&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.JPG" style="width: 454px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/20686i19E80849DAB1F1B7/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.JPG" alt="Capture.JPG" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2019 13:25:19 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Homoscedasticity-of-data-using-Cochran-C-test-in-JMP/m-p/238769#M47185</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2019-12-17T13:25:19Z</dc:date>
    </item>
  </channel>
</rss>

