MATP-4620

Mathematical Statistics

A course in the theory of statistics that will provide students with a basic foundation for more specialized statistical methodology courses. Topics include sampling and sampling distributions; point estimation including method of moments, maximum likelihood estimation, uniform minimum variance estimation, and properties of the associated estimators; hypothesis testing including uniformly most powerful, likelihood ratio, chi-square goodness-of-fit tests, and tests for independence. The course concludes with an introduction to linear statistical models. (Cross listed as DSES-4760. Students cannot obtain credit for both this course and DSES-4760.) Prerequisite: DSES-4750 or MATP-4600 or equivalent calculus-based course. Spring term annually.

4 credit hours