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May 01, 2026
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MATH 352 - Advanced Statistics with R Minimum Credit(s) Awarded: 4 Maximum Credit(s) Awarded: 4
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
Prerequisite(s): MATH 351 with a grade of C or higher
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