In reply to Andres E. Devia.

There are major differences between the hypothesis tests in UNIVARIATE and NPAR1WAY. In UNIVARIATE, you are using the empirical CDF to test whether the sample is a random draw from a parametric distribution (for example, the normal or lognormal distribution). In NPAR1WAY, you are testing whether the distribution is the same across subgroups. The only p-values computed in NPAR1WAY are for the two-sample K-S test. This is not surprising since the distributions of the subgroups can be ANYTHING! I'm not an expert in NPAR1WAY, but I'm guessing that the sampling distributions of the statistics are not known unless you make assumptions about the distribution of the data.