MA 251 - Probability and Statistics

Introduction to combinatorics and probability; discrete distributions; density functions, moments; the normal and other exponential family of distributions with applications; the Central Limit Theorem. Elementary applications to statistics inference, such as interval estimation and hypothesis testing.

Prerequisites: MA 160 (formerly MA 111)

Full course