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.

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