Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about joint discrete random variables in this university lecture that begins with coverage of missed material on exponential distribution, geometric distribution, and quantiles before diving into joint discrete probability density functions. Master the creation and interpretation of probability tables for random variables, calculate marginal probabilities, and understand the principles of conditional probability through detailed explanations and examples.