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.
