Stats 2: ANOVA & Regression
Three teaching methods, one exam. A questionnaire score you want to predict from four others. Research gets interesting once you compare more than two things at once, and this course carries the syllabus of Statistics 2 (UCG2RM03) at University College Groningen: ANOVA in its one-way, factorial and repeated-measures forms, then regression against continuous and categorical predictors, with the rank-based tests and logistic regression alongside.
It picks up where Stats 1 stops. You should be comfortable with sampling distributions, t-tests, what a p-value means, and the least-squares line; everything else is built here. Assumption checking gets its own lessons rather than a footnote, once for group comparisons and once for regression, because knowing when a test's guarantees hold is the difference between running an analysis and understanding one.
Seventeen lessons cover the whole block, including everything the group research project asks for: a descriptive pass, an ANOVA with at least three conditions, and a multivariate regression with control variables. One Study, Start to Finish puts this course's factorial ANOVA inside a whole project, from the research question to the write-up. Afterwards, Stats 3 is where the elective topics live.