"Out-of-range" means a nonpermissable value.  In my case, that was a score of  26 on a dichotomous variable that was supposed to be coded 1,2.  That said, I most certainly agree that deleting outliers can be very dangerous -- some treatments' effect may be the production of outliers. 
----- Original Message -----
From: "Herman Rubin" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Saturday, October 05, 2002 5:48 PM
Subject: Re: Dirty Data and Other Nasties

> In article <002701c26c2e$e748f990$55e8b23f@DHJC4K01">002701c26c2e$e748f990$55e8b23f@DHJC4K01>,
> Karl L. Wuensch <
[EMAIL PROTECTED]> wrote:
> >          I try to stress to my students the importance of screening their
> >data carefully for out-of range values, outliers, etc. prior to any other
> >analysis.  I demonstrate to them how a single seriously out-of-range value
> >can ruin an analysis.
>
> However, what you call an outlier can be the most important
> part of the data.  One should not just call something an
> outlier because it is not too close to the main body; it
> is necessary to justify rejecting the datum.
> --
> This address is for information only.  I do not claim that these views
> are those of the Statistics Department or of Purdue University.
> Herman Rubin, Deptartment of Statistics, Purdue University
>
[EMAIL PROTECTED]         Phone: (765)494-6054   FAX: (765)494-0558
> .
> .
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