Statistics 3401: Course Description
3401

Introduction
to Probability Theory I (4)
The theory of probability with applications to science and engineering.
Sample spaces; random variables; joint, marginal, conditional
distributions; expectations; important distributions (binomial, Poisson,
normal, etc.); and moment generating functions. Crosslisted with MATH
3401. Prerequisite or concurrent: MATH 1305. (F, W, Sp) 
