Testing for Normality

Introduction to Nonparametric Analysis

Testing for Normality

Many parametric tests assume an underlying normal distribution for the population. If your data do not meet this assumption, you may prefer to use a nonparametric analysis.

Base SAS software provides several tests for normality in the UNIVARIATE procedure. Depending on your sample size, PROC UNIVARIATE performs the Kolmogorov-Smirnov, Shapiro-Wilk, Anderson-Darling, and Cram $\acute{e}$ r-von Mises tests. For more on PROC UNIVARIATE, see the SAS Procedures Guide.

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