Intermediate Statistics: Methods and Modeling

In this course, students gain familiarity with statistical tools used to summarize and describe the world around us and to test theories about how that world works. Understanding statistics and how they are used and misused is vital to assimilating information as an informed citizen and is central in the analyses of data in a variety of disciplines, including the behavioral sciences. The course covers intermediate-level statistics, including descriptive statistics, probability, sampling distributions, and inferential statistics. Topics include correlation, t-tests, analysis of variance and covariance, factorial and repeated measures ANOVA, linear and logistic regression, effect size, and power analysis. Students use statistical software such as R to analyze data and gain experience communicating and understanding research based on data and statistical analyses. Students may only take one of the following for degree or certificate credit: PSYC E-1900 (offered previously), STAT E-150, or STAT E-160 (offered previously).