Probability

Catalog description

Introduction to probability theory including combinatorial analysis, conditional probability, independence, and random variables. Conditional expectation including its use in prediction, moment-generating functions, and the multivariate normal distribution. Theoretical results in probability theory such as the strong law of large numbers and the central limit theorem. Course overlaps with: MATH 394/STAT 394; TMATH 393; and TSTAT 345. Prerequisite: a minimum grade of 2.0 in STMATH 224; recommended: B BUS 220 if enrolled in the Actuarial Science Minor. Offered: W.