Probability

Catalog description

A study of probability theory relative to both discrete and continuous probability laws. Topics include independence and dependence, mean, variance and expectation, random variables, jointly distributed probability laws, Chebysheff’s Inequality and a version of the Central Limit Theorem. Applications of probability theory are approached through a variety of idealized problems. Prerequisites & Notes Mathematics 113, and either 140 or 160. (Fall)