Comparing Groups and Categorical Data skill check
A timed check of contingency tables, chi-square tests, ANOVA and post-hoc comparisons, factorial and repeated-measures designs, rank tests and test choice.
- Questions
- 12
- Time
- 30 min
- Pass mark
- 70%
- Retake after
- 6 h
Skills covered
Build and read contingency tables · Compare groups with conditional distributions · Calculate expected counts under independence · Run a chi-square test of independence · Check the conditions for a chi-square test · Measure the strength of association with Cramér's V · Run a chi-square goodness-of-fit test · Calculate and interpret the one-way ANOVA F statistic · Check the assumptions of ANOVA · Report η² and ω² for ANOVA · Run and interpret post-hoc comparisons · Explain why many tests inflate the error rate · Fit and read a two-way ANOVA · Interpret interactions and interaction plots · Analyse within-subject (repeated-measures) designs · Explain what rank-based tests compare · Run and interpret the Mann–Whitney U test · Run and interpret the Wilcoxon signed-rank test · Run and interpret the Kruskal–Wallis test · Choose a test from the study design and data · Report a group comparison responsibly
Covers Track 10: Comparing Groups and Categorical Data. Passing it, together with completing every lesson, earns the track certificate.
How it works
- Questions are drawn from this assessment's own bank, with numbers generated for your attempt.
- Your answers save automatically. Nothing is graded until you submit or the time runs out (the server keeps the time).
- No hints or feedback during the attempt; full worked solutions afterwards.
- You may use a calculator, the lab and your notes. The assessment is not proctored.