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Apr 18, 2024
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2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]
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MAT 352 Probability and Statistics for Actuaries IISpring
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
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