Statistical Independence

Distinguish statistical independence from disjointness and causal stories. Test probability tables, calculate reliability, analyze complements and selection, and build counterexamples separating pairwise from mutual independence. Prerequisites: conditional probability and multiplication rules; no inference tests or advanced stochastic-process theory are required. Includes single-select and multiselect questions with worked solutions and distractor feedback.

References: 1.4.1 Product definition, multi-event definition and complements, 1.4.0 Definition, conditional axioms and chain rule.