Course Details

STAT 250: Introduction to Statistical Inference

(Formerly Mathematics 275) 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 statistical package R will be used to analyze data sets. Prerequisite: Mathematics 240 Probability (formerly Mathematics 265)
6 credits; FSR, QRE; Offered Winter 2021, Spring 2021; A. Poppick, L. Chihara