Stats 2: ANOVA & Regression
This course is about comparing more than two things at once: three teaching methods on one exam, or a questionnaire score predicted from four others. It covers the syllabus of Statistics 2 (UCG2RM03) at University College Groningen: ANOVA in its one-way, factorial and repeated-measures forms, then regression with continuous and categorical predictors, with the rank-based tests and logistic regression alongside.
It starts where Stats 1 ends. You should be comfortable with sampling distributions, t-tests, what a p-value means and the least-squares line. Everything else is taught here. Assumption checking gets two full lessons, one for group comparisons and one for regression, because you need to know when a test's results can be trusted.
Seventeen lessons cover the whole block, including everything the group research project asks for: a descriptive analysis, an ANOVA with at least three conditions, and a multivariate regression with control variables. One Study, Start to Finish follows this course's factorial ANOVA through a whole project, from the research question to the write-up. After this course, Stats 3 covers the elective topics.