> -----Original Message-----
> I have a question: I am using the interquantile method to
> spot outliers & it gives me values of say 234 & -120 or for
> the higher & lower benchmarks.
> I don't have any issues w/ the higher end. However I don't
> have any negative values. My lowest possible value is 0.
> Should I consider 0 as an outlier?
If your limits have been appropriately set and the lower outlier bound is -120,
obviously not.
However, if your data are constrained positive and unusually small values are
as likely to be erroneous as unusually large values, you probably should have
set the bounds differently.
Try taking logs and see if that gives you a more or less symmetric
distribution?
S Ellison
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