Nonparametric Statistics and Categorical Data Analysis. 3 credits

Catalog description

Introduction to nonparametric methods and categorical data analysis. Topics include tests for one-sample, two-related samples, and two independent samples; concepts of nonparametric ANOVA; tests for proportions; chi-squared tests, log-linear models, and contingency tables; goodness-of-fit tests; correlation and association analysis; nonparametric regression including logistic and Poisson regression; and bootstrapping, jackknifing , and cross-validation. Notes: Students may not receive credit for both STAT 465 and STAT 525 . Cannot be used to satisfy requirements for MS in Statistical Science. Offered by Statistics . May not be repeated for credit.