Go to Main Content




Catalog Entries


Summer 2024
Jul 14, 2024
Transparent Image
Information Select the Course Number to get further detail on the course. Select the desired 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, Study Abroad

Mathematical Sciences Department

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