Hi,
  I'm working on a problem in which I'd like to determine whether two
sets of data come from the same distribution. It seems that the Kolmogorv
Smirnov test will give me the information I need.

However I'd like to go further than just accept or reject the H0 for the
test. Is there any way (using this test or someother test) to determine
*how* similar the distributions of two sets are?

Am I correct in thinking that  a P value for the KS test would provide this
information? I looked up Conovers book on non parametric statistics for
the algorithm of the KS test. However it does not mention any way of
calculating a P for the test. Is it possible?

Are there any other tests that would be able to tell me how similar the
distributions of two sets of observations are

Thanks,
.
.
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