DSES-4760

Mathematical Statistics

A course in the theory of statistics which 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; confidence intervals; hypothesis testing including uniformly most powerful, likelihood ratio approaches, chi-square tests for goodness-of-fit and independence. The course will conclude with an introduction to linear statistical models. (Cross listed as MATP-4620. Students cannot obtain credit for both this course and MATP-4620.) Prerequisite: DSES-4750 or MATP-4600 or equivalent calculus-based course. Spring term annually.

4 credit hours