MATH 2323 - Introduction to Mathematical Statistics

(3 credits) 3 hours lecture, 1 hour tutorial Lecture, Tutorial

Central limit theorem. Sampling distributions. F and t distributions. Estimation. Hypothesis tests (proportions, means, variance, chi-square). Method of moments. Maximum likelihood estimators. Concept of minimum variance unbiased estimators. Neyman-Pearson lemma. Likelihood ratio tests. Elementary regression and correlation.

Prerequisite(s): MATH 2321 with a grade of C- or higher.
Corequisite(s): MATH 2302
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