Joint & Marginal Distributions (Discrete & Continuous)

Build joint and marginal distribution skills using probability tables, rectangular and triangular supports, and joint cumulative probabilities. Prerequisites: probability rules, integration and univariate distributions. Progress from normalization and marginalization to independence diagnostics, feasible joint laws and singular examples. Worked solutions expose the difference between probability mass, density height and dependence information.

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Further reading: 5.1.1 Joint and marginal PMFs, 5.2.1 Joint PDFs.