Fundamentals of Statistical Inference

Catalog description

This non-calculus course will provide an introduction to elementary probability and an introductory survey of the standard toolkit of statistical methods. Probability topics will include: basic rules of probability; random variables; expected values; sampling distributions; central limit theorem. Statistical methods covered will include: confidence intervals and hypothesis tests for means and proportions in both the one- and two-sample settings; introduction to simple linear and multiple regression and correlation, including inference procedures for key parameters; one-way and two-way ANOVA; analysis of two-way tables for count data. Point-and-click statistical software will be used for implementation.