<?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: Distribution of Two Samples (Population) in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169994#M8834</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Or test if their percentiles is equal or not .&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 14 Nov 2014 11:56:41 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2014-11-14T11:56:41Z</dc:date>
    <item>
      <title>Distribution of Two Samples (Population)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169991#M8831</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Everyone,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I need a statistical test to show that the distribution of two samples are the same.&lt;/P&gt;&lt;P&gt;I was thinking I could probably test to see if both the distributions are normal or not but then it necessarily does not have to be a normal distribution and these could be any other distribution. So this might not work for my case.&lt;/P&gt;&lt;P&gt;Is there a way i could test that the distibutions are the same. Any code/examples will be very helpful.&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;PS.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Nov 2014 17:54:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169991#M8831</guid>
      <dc:creator>P_S_</dc:creator>
      <dc:date>2014-11-13T17:54:18Z</dc:date>
    </item>
    <item>
      <title>Re: Distribution of Two Samples (Population)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169992#M8832</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Look at proc npar1way. &lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_npar1way_sect020.htm" title="http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_npar1way_sect020.htm"&gt;SAS/STAT(R) 9.2 User's Guide, Second Edition&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Nov 2014 17:56:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169992#M8832</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2014-11-13T17:56:54Z</dc:date>
    </item>
    <item>
      <title>Re: Distribution of Two Samples (Population)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169993#M8833</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The Kolmogorov Smirnov test whether the two distribution-functions are the same in a nonparametric way.&lt;/P&gt;&lt;P&gt;this can be done with PROC NPAR1WAY with the KS-option. It also gives some some other test for the same hypothesis, but the Kolmogorov-Smirnov test are the most well-know.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Nov 2014 18:30:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169993#M8833</guid>
      <dc:creator>JacobSimonsen</dc:creator>
      <dc:date>2014-11-13T18:30:10Z</dc:date>
    </item>
    <item>
      <title>Re: Distribution of Two Samples (Population)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169994#M8834</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Or test if their percentiles is equal or not .&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 14 Nov 2014 11:56:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Distribution-of-Two-Samples-Population/m-p/169994#M8834</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2014-11-14T11:56:41Z</dc:date>
    </item>
  </channel>
</rss>

