MA 330 - Statistics I

A study of probability distributions and their application to statistical inference. Topics include conditional probability and independence, Bayes’ Rule, discrete and continuous probability distributions, Tchebysheff’s Theorem, and the Central Limit Theorem.

Four credits.

Prerequisite(s): MA 180