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How to determine if the data is normal or nonparametric on SAS Studio?

How to determine if the data is normal or nonparametric on SAS Studio?

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In statistical inference, or hypothesis testing, the traditional tests are called parametric tests because they depend on the specification of a probability distribution (such as the normal) except for a set of free parameters. Parametric tests are said to depend on distributional assumptions. Nonparametric tests, on the other hand, do not require any strict distributional assumptions. Even if the data are distributed normally, nonparametric methods are often almost as powerful as parametric methods.

The SAS/STAT nonparametric analysis procedures include the following:

  • FREQ Procedure — One-way to n-way frequency and contingency (crosstabulation) tables
  • KDE Procedure — Univariate and bivariate kernel density estimation
  • NPAR1WAY Procedure — Nonparametric tests for location and scale differences across a one-way classification
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