Assess students' understanding of conditional probability and Bayes' theorem by having them compute conditional probabilities from tables and tree diagrams, apply Bayes' formula to update priors given evidence, interpret priors/likelihoods/posteriors, identify independence and base-rate effects, and solve medium-difficulty contextual problems (e.g., diagnostic testing, joint events) requiring both calculation and explanation.