Advanced Introduction to Statistical Theory and Methods I

Catalog description

This course provides an advanced formal introduction to the basic theory and methods of probability and statistics. It covers topics in probability theory with an emphasis on those needed in statistics, including probability and sample spaces, independence, conditional probability, random variables, parametric families of distributions, and sampling distributions. Core concepts are mastered through mathematical exploration and simulation Prerequisite(s): 2 semesters of calculus, including multivariate calculus, or its equivalent. Familiarity with linear algebra is helpful. Director of Graduate Studies permission is required. Credits: 3