Statistical Methods

Catalog description

Statistical Methods (3) This course builds on foundational knowledge from a previous statistics course and covers statistical methods for addressing advanced challenges in working with data and communicating statistical ideas. It prepares students for specialized courses in statistical methods. Topics include tests of significance, confidence intervals, two-sample tests, simple linear regression, multiple regression, analysis of variance, chi-square tests, nonparametric methods, and logistic regression. Students learn and employ a major statistical software program such as SPSS, STATA, or R throughout the course. Usually Offered: fall, spring, and summer. Note: Students in Statistics (MS) are required to seek departmental approval before registration.