MATH 315 - Probability and Statistics

Continuous random variables and their probability distributions; marginal and conditional probability distributions; functions of random variables; the Central Limit theorem; estimations; the method of maximum likelihood hypothesis testing; power of tests; The Neyman-Pearson lemma regression; linear statistical models; method of least squares. This course is offered in the Spring of even-numbered years.

Pre-req: A C- or better in MATH 241
3 credits