STAT 465 Nonparametric Statistics and Categorical Data Analysis


Prerequisite:STAT 350, STAT 354, STAT 435, or equivalent.

Course 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: Offered concurrently with STAT 525. Students may not receive credit for both STAT 465 and STAT 525.

When Offered: Spring