Undergraduate Catalog 2021-2022

MTH 311 Probability Theory and an Introduction to Mathematical Statistics(RLA)

4 hours; 4 credits. A calculus-based treatment of elementary probability theory, where the notion of sample space, events, and probability is introduced. The basic probability models are discussed. Notion of density and distribution function is introduced. Furthermore, conditioning, independence, and expectation are discussed. Basic concepts of statistics, sample, parameter estimation, confidence interval, hypothesis testing, central limit theorem are treated. Prerequisite: MTH 233 or MTH 236.

Credits

4