MA 351 - Theory of Probability

4.00 credits.

A comprehensive development of the theory of probability. Topics include the basic principles of combinatorial analysis useful in computing probabilities, conditional probability, independence of events, Bayes’ Rule, discrete and continuous random variables, jointly distributed random variables, expected values and variances, and limit theorems involving sums of independent random variables. *Prerequisite(s): MA 222 and MA 235. Spring semester.