Probability

Catalog description

The first part of a two-semester sequence, this course includes discrete probability and counting methods, conditional probability and independence, Bayes' Theorem, discrete and continuous random variables, expectation, variance, special probability distributions, joint distributions of discrete random variables, marginal and conditional distributions, independent random variables, covariance and correlation, and distributions of functions of random variables.