This course examines some of the theory behind statistical inference. Topics include a review of probability theory, sampling distributions, and methods of estimation and hypothesis testing, including maximum likelihood estimation, bootstrapping, Bayesian methods, likelihood ratio testing and confidence interval construction.
Prerequisite: STAT 200 and MATH 302