MATH 329. Introduction to Probability and Theoretical Statistics

Credits 3.00 PeopleSoft Course ID 014013 Grading Basis GRD

This course covers counting, probability axioms, discrete and continuous univariate random variables, expected values of random variables and sums of independent random variables. It also discusses theoretical underpinnings of sampling distributions and the Central Limit Theorem, computer simulation, two-sample estimation and inference for proportions and means, and estimation and inference including verification of assumptions in simple linear regression. Uses the R programming language. Prerequisite(s): MATH 236 and “C-” or better in MATH 229 . MATH 220 with a grade of “B-” or better may be substituted for MATH 229 by permission if student has suitable experience with R. Not open to students with credit in MATH 318 .