Nonparametric Statistics

Catalog description

The theory of parametric and nonparametric tests of hypotheses is examined. Criteria for suitability of parametric or nonparametric methods are developed for various statistical models. These include one-sample tests for location, two-sample tests for location (related and independent), two-sample tests for dispersion, and k-sample tests for location (related and independent). In addition, tests for association, tests for randomness, tests for goodness of fit, and methods of paired comparisons are developed. Applications will be made to the behavioral, social, and life sciences.