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    <title>topic Re: Non-parametric 2 sample t-test in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385975#M20124</link>
    <description>&lt;P&gt;Since&amp;nbsp;&lt;SPAN&gt; wilcoxon rank sum test is a non-parameter test. It doesn't matter what distribution your data have.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt; wilcoxon rank sum test can handle any distribution. Or you would like compare the median of them ?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I remember&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp;wrote a bolg about it before .&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 07 Aug 2017 12:25:44 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2017-08-07T12:25:44Z</dc:date>
    <item>
      <title>Non-parametric 2 sample t-test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385945#M20123</link>
      <description>&lt;P&gt;I want to test the difference in "central tendency" - for lack of a better word- of 2 samples where 1 is realtively normal looking and the other is highly skewed to the right. Normally, I would just use a wilcoxon rank sum test, but I read that the 2 distributions must be similar in shape. Since mine are not, what test is appropriate?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 06:25:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385945#M20123</guid>
      <dc:creator>Melk</dc:creator>
      <dc:date>2017-08-07T06:25:57Z</dc:date>
    </item>
    <item>
      <title>Re: Non-parametric 2 sample t-test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385975#M20124</link>
      <description>&lt;P&gt;Since&amp;nbsp;&lt;SPAN&gt; wilcoxon rank sum test is a non-parameter test. It doesn't matter what distribution your data have.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt; wilcoxon rank sum test can handle any distribution. Or you would like compare the median of them ?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I remember&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp;wrote a bolg about it before .&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 12:25:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385975#M20124</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-08-07T12:25:44Z</dc:date>
    </item>
    <item>
      <title>Re: Non-parametric 2 sample t-test</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385981#M20125</link>
      <description>&lt;P&gt;I agree with KSharp: it sounds like you can use PROC NPAR1WAY for this analysis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The blog post he refers to shows that &lt;A href="http://blogs.sas.com/content/iml/2017/02/22/difference-of-medians-sas.html" target="_self"&gt;you can use PROC QUANTREG for a two-sample test of the difference between arbitrary quantiles.&lt;/A&gt;&amp;nbsp;It can also provide confidence intervals for the quantiles.&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 12:58:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Non-parametric-2-sample-t-test/m-p/385981#M20125</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2017-08-07T12:58:17Z</dc:date>
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