Nonparametric Inference

Catalog description

Nonparametric inference involves the analysis of small data sets or data that do not follow a bell-shaped distribution. Applications will be drawn from areas such as education, economics, the biological or social sciences, among others. Emphasis will be placed on applied techniques which include Spearman's rho correlation, chi-squared tests, a confidence interval for the median, and 1-, 2-, and k-sample hypothesis tests.