Go to Main Content




Detailed Course Information


Spring 2023
Sep 24, 2023
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

MATH 321 - Mathematical Statistics
Random sampling, statistical inference, and sampling distributions, point and interval estimation, matching moments, maximum likelihood, mean square error, consistency, efficiency, uniformly minimum-variance unbiased estimator (UMVUE), Neyman-Pearson Lemma, Likelihood ratio tests, classical tests of significance, goodness-of-fit, contingency tables, correlation, regression, nonparametric methods, Bayesian methods. Prerequisite: C- or better in MATH 320 or permission of the department chairperson.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Immersive Learning, Study Abroad, Societal Issue/Global Chal, Undergraduate Research

Mathematical Sciences Department

Must be enrolled in one of the following Levels:     

Undergraduate level MATH 320 Minimum Grade of C-

Return to Previous New Search
Transparent Image
Skip to top of page