<?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: Chi Square in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290452#M59741</link>
    <description>&lt;P&gt;Chi square is via proc freq&lt;/P&gt;</description>
    <pubDate>Tue, 09 Aug 2016 13:11:32 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2016-08-09T13:11:32Z</dc:date>
    <item>
      <title>Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290428#M59738</link>
      <description>&lt;P&gt;Hello&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I intend to use PROC MEANS in order to get details (average, median, std, max, min) on 3 seperate groups. Is there any possibility&lt;/P&gt;&lt;P&gt;to check the difference between the groups using chi-square in this procedure? because I did not find it&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks a lot!&lt;/P&gt;</description>
      <pubDate>Tue, 09 Aug 2016 11:44:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290428#M59738</guid>
      <dc:creator>yael</dc:creator>
      <dc:date>2016-08-09T11:44:23Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290452#M59741</link>
      <description>&lt;P&gt;Chi square is via proc freq&lt;/P&gt;</description>
      <pubDate>Tue, 09 Aug 2016 13:11:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290452#M59741</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-08-09T13:11:32Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290488#M59749</link>
      <description>&lt;P&gt;The chi-square test in PROC FREQ tests whether the proportions (or counts) in each cell of a one-way analysis of a &lt;STRONG&gt;discrete&lt;/STRONG&gt; variable are significantly different. Is that your situation?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For a continuouis response variable,&amp;nbsp;analysts often&amp;nbsp;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glm_details27.htm" target="_self"&gt;use PROC GLM&amp;nbsp;to compare mean values across three or more groups&lt;/A&gt;. &amp;nbsp;The GLM output includes an OverallAnova table that shows the result of an F test which indicates whether the means of the groups are significantly different. &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 09 Aug 2016 15:17:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290488#M59749</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-08-09T15:17:23Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290623#M59782</link>
      <description>&lt;P&gt;Hello &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS﻿&lt;/a&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks for your reply and also for the explanation&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I actually need the chi-square test to&amp;nbsp;test whether the proportions&amp;nbsp;in&amp;nbsp;a &lt;STRONG&gt;discrete&lt;/STRONG&gt; variable are significantly different. But the information about the PROC GLM is important to me for my next step.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks a lot!&lt;/P&gt;</description>
      <pubDate>Wed, 10 Aug 2016 05:55:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290623#M59782</guid>
      <dc:creator>yael</dc:creator>
      <dc:date>2016-08-10T05:55:26Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290881#M59806</link>
      <description>&lt;P&gt;Hello &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS﻿&lt;/a&gt;&lt;/P&gt;&lt;P&gt;Following our c&lt;SPAN&gt;orrespondence&lt;/SPAN&gt; &lt;SPAN&gt;above I would like to ask for your help,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I am trying to see if there is any difference between 3 groups of &lt;STRONG&gt;continouse variable&lt;/STRONG&gt;. So I used PROC FREQ with Chi Square and got&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;a long list divided by&amp;nbsp;3 groups (it probably took every value in this list and&amp;nbsp;indicated the frequency values). But m&lt;/SPAN&gt;&lt;SPAN&gt;ore important is that I got the following&amp;nbsp;message: &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;WARNING: 100% of the cells have expected counts less&lt;/P&gt;&lt;P&gt;than 5. Chi-Square may not be a valid test.&lt;/P&gt;&lt;P&gt;Effective Sample Size = 3986&lt;/P&gt;&lt;P&gt;Frequency Missing = 828&lt;/P&gt;&lt;P&gt;WARNING: 17% of the data are missing.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I checked and&amp;nbsp;there is NO MISSING DATA but there is missing data if we divide it to 3 groups (attached an example)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;IMG title="SAS4.jpg" alt="SAS4.jpg" src="https://communities.sas.com/t5/image/serverpage/image-id/4511i4F2D2BF97002C3CE/image-size/original?v=v2&amp;amp;px=-1" border="0" /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;First, I hope my description&amp;nbsp;with my broken English is clear, BUT how can I solve it?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks a lot!!!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Aug 2016 05:59:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290881#M59806</guid>
      <dc:creator>yael</dc:creator>
      <dc:date>2016-08-11T05:59:05Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290928#M59819</link>
      <description>&lt;P&gt;As I said in my previous message, PROC FREQ is for &lt;STRONG&gt;discrete&lt;/STRONG&gt;&amp;nbsp;response, typically counts. &amp;nbsp;If you have a continuous response,&amp;nbsp;you need to use a different procedure such as GLM.&lt;/P&gt;</description>
      <pubDate>Thu, 11 Aug 2016 09:27:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290928#M59819</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-08-11T09:27:18Z</dc:date>
    </item>
    <item>
      <title>Re: Chi Square</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290934#M59821</link>
      <description>&lt;P&gt;Sorry! You are right, I forgot it&lt;/P&gt;</description>
      <pubDate>Thu, 11 Aug 2016 10:52:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Chi-Square/m-p/290934#M59821</guid>
      <dc:creator>yael</dc:creator>
      <dc:date>2016-08-11T10:52:40Z</dc:date>
    </item>
  </channel>
</rss>

