STAT 341

Introduction to Probability and Mathematical Statistics II

Course Description

Brief review of: sample spaces, random variables, probability. Distribution: binomial, normal, Poisson, geometric. Followed by: expectation, variance, central limit theorem. Basic concepts of estimation, testing, and confidence intervals. Maximum likelihood estimators and likelihood ratio tests, efficiency. Introduction to regression. Prerequisite: either STAT 340, or STAT 395/MATH 395; and either STAT 311, STAT 390, or Q SCI 381. Offered: W.