Introduction to Probability
The sequence of courses STA 4321-4322 provides a formal and systematic introduction to mathematical statistics. STA 4321 introduces the background in probability that is necessary to understand the classical statistical theory introduced in STA 4322. Major topics include theory of probability, counting rules, conditional probability, independence, additive and multiplicative laws, Bayes Rule. Discrete and continuous random variables, their distributions, moments and moment generating functions. Multivariate probability distributions, independence, covariance. Distributions of functions of random variables, sampling distributions, central limit theorem.
Prerequisite(s): MAC 2313.
Credit Hours: 3