# Assessing credibility of a q-q 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 q-q plot)?

I have a q-q 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.

.

**Follow-Ups**:**Re: Assessing credibility of a q-q plot by presence of outliers***From:*Reef Fish

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