Statistics and Data Analysis

Catalog description

A topics course whose content will vary somewhat from semester to semester. In the recent past the course has focused on analysis of variance, categorical data analysis, distribution free methods, and survey sampling. Other possible topics include Bayesian statistics, bootstrap methods, log-linear models, lifetime distributions, Kaplan-Meier estimators, and the Mantel-Haenszel test. Topics covered in A MAT 465 (multiple regression and time series) would be avoided. May be repeated for credit with permission of instructor. Prerequisite(s): A MAT 363. May not be offered in 2023-2024.