MATH-31500 Probability Theory

This course is a continuation of the probability concepts learned in Applied Probability and Statistics. It covers key concepts related to discrete and continuous univariate random variables and multivariate random variables and their applications. Topics include probability density functions, cumulative distribution functions, expectation, variance, covariance, jointly distributed random variables, moment generating functions, and conditional distributions. This course addresses topics found on Exam P for actuarial credentialing.

Credits

Prerequisite

MATH 22000 and MATH 25000

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