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    <title>topic Re: Multivariate normality in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3892#M1249</link>
    <description>Thanks for you comments,  dkvj.&lt;BR /&gt;
&lt;BR /&gt;
The interpretation of a multivariate normality test do not requires such a detailed knowledge. In a simplest way, the test produces one statistic and one p-value for it's significance. The null hypothesis is that the data set is similar to the normal distribution, therefore a sufficiently small p-value indicates non-normal data.&lt;BR /&gt;
&lt;BR /&gt;
Henze-Zirkler test was recommended by my teachers as formal test of the multivariate normality, plus the use of Mardia's skewness and kurtosis measures.&lt;BR /&gt;
&lt;BR /&gt;
Several friends told me that SAS can do it. I just don't know what shall i do using SAS to get this information.&lt;BR /&gt;
&lt;BR /&gt;
If someone could assist me, it would be much appreciated.&lt;BR /&gt;
&lt;BR /&gt;
Américo Alves</description>
    <pubDate>Fri, 20 Jul 2007 13:05:32 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2007-07-20T13:05:32Z</dc:date>
    <item>
      <title>Multivariate normality</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3890#M1247</link>
      <description>Hello!&lt;BR /&gt;
&lt;BR /&gt;
I never used SAS.&lt;BR /&gt;
&lt;BR /&gt;
I need to do Discriminant Analysis and MANOVA, and i can't understand what shall i do to get the multivariate normality test.&lt;BR /&gt;
&lt;BR /&gt;
I've Learning Edition 2.0 (Enterprise Guide 2.1.40)... that i never used.&lt;BR /&gt;
&lt;BR /&gt;
Can someone assist me on this with a very explicit manner, please?&lt;BR /&gt;
&lt;BR /&gt;
Thanks in advance,&lt;BR /&gt;
Américo Alves</description>
      <pubDate>Thu, 19 Jul 2007 21:28:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3890#M1247</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2007-07-19T21:28:27Z</dc:date>
    </item>
    <item>
      <title>Re: Multivariate normality</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3891#M1248</link>
      <description>I doubt I can help you much.&lt;BR /&gt;
&lt;BR /&gt;
First of all, I have EG3 and EG 4.1 installed on my computers, and so I can't direct you through the task lists for EG2.  I presume they are available as options on the task lists and that is why you have named them, but I don't know to what extent they have changed in the past couple of years.&lt;BR /&gt;
&lt;BR /&gt;
Secondly, deep and meaningful statistical discussions are something I leave to my namesake who would walk you through taking the code produced by EG and customising it to perform these analyses in a way that he would consider robustly reports the statistical analysis.  That requires a detailed knowledge of both SAS and statistical procedures to perform the analysis and interpret the results.  Note that the interpretation is not a "black box" and will involve formulation of hypotheses that you will test with a series of SAS procedures.  It is something about which three days SAS training taught me a little, the greater part of what I learned is that it isn't something I would do alone.&lt;BR /&gt;
&lt;BR /&gt;
I hope you have a statistician with you to assist in the interpretation of the results reported.&lt;BR /&gt;
&lt;BR /&gt;
Kind regards&lt;BR /&gt;
&lt;BR /&gt;
David</description>
      <pubDate>Fri, 20 Jul 2007 04:54:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3891#M1248</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2007-07-20T04:54:56Z</dc:date>
    </item>
    <item>
      <title>Re: Multivariate normality</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3892#M1249</link>
      <description>Thanks for you comments,  dkvj.&lt;BR /&gt;
&lt;BR /&gt;
The interpretation of a multivariate normality test do not requires such a detailed knowledge. In a simplest way, the test produces one statistic and one p-value for it's significance. The null hypothesis is that the data set is similar to the normal distribution, therefore a sufficiently small p-value indicates non-normal data.&lt;BR /&gt;
&lt;BR /&gt;
Henze-Zirkler test was recommended by my teachers as formal test of the multivariate normality, plus the use of Mardia's skewness and kurtosis measures.&lt;BR /&gt;
&lt;BR /&gt;
Several friends told me that SAS can do it. I just don't know what shall i do using SAS to get this information.&lt;BR /&gt;
&lt;BR /&gt;
If someone could assist me, it would be much appreciated.&lt;BR /&gt;
&lt;BR /&gt;
Américo Alves</description>
      <pubDate>Fri, 20 Jul 2007 13:05:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3892#M1249</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2007-07-20T13:05:32Z</dc:date>
    </item>
    <item>
      <title>Re: Multivariate normality</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3893#M1250</link>
      <description>Sounds like what you want is in the MODEL procedure.  There is no point-and-click task to cover this, but you might be able to write your own PROC MODEL code to get what you need.&lt;BR /&gt;
&lt;BR /&gt;
I'm not sure whether PROC MODEL is available in SAS Learning Edition 2.0 though.  Not all of SAS' procedures are included in that version of Learning Edition -- you might have to use Learning Edition 4.1 or jump to the full version of SAS.&lt;BR /&gt;
&lt;BR /&gt;
Chris</description>
      <pubDate>Mon, 30 Jul 2007 17:19:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Multivariate-normality/m-p/3893#M1250</guid>
      <dc:creator>ChrisHemedinger</dc:creator>
      <dc:date>2007-07-30T17:19:12Z</dc:date>
    </item>
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