Courses

An introduction to the theory and application of probability and statistics for students who have experience with calculus. Topics include data collection, descriptive statistics, probability, random variables and standard distributions, central limit theorem, hypothesis tests, interval estimates, and linear regression. Computer software will be used to display, analyze, and simulate data. The focus will be on biostatistics with applications using data from the life sciences.

A study of the fundamental principles of mathematical statistics. Topics include probability distributions and densities, expectation and moment-generating functions, functions of random variable, sampling distributions, estimation, hypothesis testing, regression and correlation, analysis of variance, nonparametric tests.