Meta-Analysis & Heterogeneity – Practice Quiz

Explore evidence synthesis using inverse-variance weights, common-effect and random-effects models, forest plots and heterogeneity diagnostics. Interpret prediction intervals and assess dependence, publication bias and sensitivity without treating pooling as a cure for study bias. Prerequisites: probability, statistical inference and the preceding core curriculum. Original single-select and multiselect scenarios progress from interpretation to worked applications and assumption-sensitive challenges. Detailed solutions explain the alternatives; this is educational statistical practice.