MAT 352 Probability and Statistics for Actuaries II

Spring

A continuation from MAT 351 of the in-depth study of the mathematical foundations of probability and statistics including joint distributions, covariance and correlation, multi-nomials, transformations, convolutions, beta and gamma distributions, conditional expectation, conditional variance, the law of large numbers, the central limit theorem, chi-square and student t-distributions, Markov chains, transition matrices, classification states, and stationary distributions. This course, along with MAT 351, prepares students for the SOA Probability Exam. Prerequisite: MAT 351 with a “2” or better.

3 credit hours