STAT 333
Introductory Probability Theory
Material will include combinational analysis; axioms of probability; the law of total probability and Bayes’ Theorem; discrete and continuous random variables; mathematical expectation and variance; joint distributions; introduction to moment-generating functions and their applications; limit theorems. Prerequisites: One of MATH 222, 267 and one of STAT 101, 224, 231 or permission by the department chair. Three credits.
Sources
- Course catalogue ↗2026-2027