Probability and Statistics

3.00 credits · Undergraduate

Prereq: MATH 1121; MATH 2321; or permission of the Department This course focuses on the mathematical theory of probability. It includes topics such as: sample space, events, axioms, conditional probability, Bayes' Theorem, random variables, combinatorial probability, moment generating functions, transformations of random variables, univariate and joint distributions with reference to the binomial, hypergeometric, normal, Gamma, Poisson, and others; convergence of sequences of variables; and the Central Limit Theorem. (Format: Lecture 3 Hours) (Exclusion: Any version of MATH 3311 previously offered with a different title)