MML-10-09: ANOVA (F-Tests), Chi-Square Contingency and Non-Parametric Rank Tests – Practice Quiz

Master the core mathematical principles of MML-10-09: ANOVA ($F$-tests), Chi-Square Contingency & Non-Parametric Rank Tests. This comprehensive assessment progresses from accessible conceptual foundations through step-by-step variance partitioning, contingency matrix calculations, and robust rank-based inference. Topics covered include one-way and two-way ANOVA, sum-of-squares partitioning, post-hoc corrections (Bonferroni, Tukey HSD), Chi-square goodness-of-fit and independence tests, Mann-Whitney U, and Wilcoxon signed-rank tests. Designed for machine learning researchers, data scientists, and engineers.