Mathematical Statistics

An introduction to classical probability theory that includes the axioms of a probability measure, conditional probability, and Bayes’ Theorem; random variables and their probability distributions; moments and moment generating functions; distributions of special random variables such as binomial, Poisson, Chi-square, and normal; sampling distributions such as the t and F distributions. Interval estimation and hypothesis testing also are discussed.

Offered fall term