Define discrete random variables and construct or verify valid probability distributions by listing possible values and assigning nonnegative probabilities that sum to 1. Calculate and interpret expected value, variance, and standard deviation for finite discrete distributions, including their meanings, units, and implications for typical outcomes and variability. Model repeated independent trials with binomial distributions, calculate exact and range probabilities, and use distributions and summary measures to compare risks, costs, payoffs, and fairness.