Prerequisite: STAT 535, STAT 554, 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; and bootstrapping, jacknifind, and cross validation.
Notes: Offered concurrently with STAT 465. Students may not receive credit for both STAT 465 and STAT 525. Cannot be used to satisfy requirements for MS in Statistical Science.
When Offered: Spring