MATH 163 - Probability Theory
Probability axioms; random variables; marginal and conditional density and distribution functions; binomial, geometric, Poisson, gamma and normal probability laws; mathematical expectations, moment generating functions; limit theorems; sampling distributions.
Prerequisite(s): MATH 32 or MATH 32X , and MATH 161A (each with a grade of “C-” or better) or instructor consent.
Grading: Letter Graded
Class Schedule | Syllabus Information | University Bookstore
Add to Favorites (opens a new window)