MATH 352 - Advanced Statistics with R

Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The programming language R will be used to analyze data sets.

Offered Spring

Course Fee: No
Prerequisite(s): MATH 351 with a grade of C or higher