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    <title>topic Re: Dataset of means and std in SAS Data Management</title>
    <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340147#M10089</link>
    <description>&lt;PRE&gt;

It is about data simulation.
Better post it at IML forum.

use rand() you can get normal distribution with a special mean and std.
once the data are out the range min-max , throw it out the window.
data have;
do i=1 to 10000;
x=rand('nomal',mean,std);
if min&amp;lt;=x&amp;lt;=max then output;
end;
run;


&lt;/PRE&gt;</description>
    <pubDate>Sat, 11 Mar 2017 04:14:55 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2017-03-11T04:14:55Z</dc:date>
    <item>
      <title>Dataset of means and std</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340042#M10081</link>
      <description>&lt;P&gt;i have a data set of means, stds, min and max. I want to explore the data utilizing all the information i have...ie incorporating the standard deviation along with the means. How do i do that. I don't have the raw data for each mean or std.&lt;/P&gt;</description>
      <pubDate>Fri, 10 Mar 2017 17:39:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340042#M10081</guid>
      <dc:creator>TW16</dc:creator>
      <dc:date>2017-03-10T17:39:11Z</dc:date>
    </item>
    <item>
      <title>Re: Dataset of means and std</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340047#M10082</link>
      <description>&lt;P&gt;What kind of research questions are you trying to answer.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You don't mention whether you have the n (count of subjects) any of those stats are based on. That may make things very hard much with.&lt;/P&gt;</description>
      <pubDate>Fri, 10 Mar 2017 18:29:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340047#M10082</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2017-03-10T18:29:00Z</dc:date>
    </item>
    <item>
      <title>Re: Dataset of means and std</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340065#M10083</link>
      <description>I am trying to evaluate the distribution, see outliers, see if a process is&lt;BR /&gt;under control, observe corrilations and evaluate capabilities. I am&lt;BR /&gt;assuming n is the same for all.&lt;BR /&gt;&lt;BR /&gt;##- Please type your reply above this line. Simple formatting, no&lt;BR /&gt;attachments. -##</description>
      <pubDate>Fri, 10 Mar 2017 19:09:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340065#M10083</guid>
      <dc:creator>TW16</dc:creator>
      <dc:date>2017-03-10T19:09:42Z</dc:date>
    </item>
    <item>
      <title>Re: Dataset of means and std</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340147#M10089</link>
      <description>&lt;PRE&gt;

It is about data simulation.
Better post it at IML forum.

use rand() you can get normal distribution with a special mean and std.
once the data are out the range min-max , throw it out the window.
data have;
do i=1 to 10000;
x=rand('nomal',mean,std);
if min&amp;lt;=x&amp;lt;=max then output;
end;
run;


&lt;/PRE&gt;</description>
      <pubDate>Sat, 11 Mar 2017 04:14:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340147#M10089</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-03-11T04:14:55Z</dc:date>
    </item>
    <item>
      <title>Re: Dataset of means and std</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340148#M10090</link>
      <description>&lt;A href="http://blogs.sas.com/content/iml/2013/07/24/the-truncated-normal-in-sas.html" target="_blank"&gt;http://blogs.sas.com/content/iml/2013/07/24/the-truncated-normal-in-sas.html&lt;/A&gt;</description>
      <pubDate>Sat, 11 Mar 2017 04:15:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/Dataset-of-means-and-std/m-p/340148#M10090</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-03-11T04:15:58Z</dc:date>
    </item>
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