Assessing credibility of a qq plot by presence of outliers
 From: "Aleik" <rsoul41@xxxxxxxxxxx>
 Date: 27 Oct 2006 16:42:13 0700
What proportion of a data set should significantly betray a particular
distribution in order to reject the hypothesis that this is the correct
distribution (i.e. how many points in a data set of n=100, say, should
lie significantly away from the diagonal line in a qq plot)?
I have a qq plot that seems to have all the hallmarks of a correct
fit, but there are data points in upper quantiles that don't fit the
line. Are there any web references on this topic?
Thanks for any help you can give.
.
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