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FOCUS AREAS

Nonparametric Analysis Procedures

Nonparametric Analysis

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.

Below are highlights of the capabilities of the SAS/STAT procedures that perform nonparametric analysis: