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Slides Prepared by JOHN S. LOUCKS St. Edward抯 University Chapter 5 Discrete Probability Distributions Random Variables Discrete Probability Distributions Expected Value and Variance Binomial Probability Distribution Poisson Probability Distribution Hypergeometric Probability Distribution .10 .20 .30 .40 0 1 2 3 4 Random Variables A random variable is a numerical description of the outcome of an experiment. A random variable can be classified as being either discrete or continuous depending on the numerical values it assumes. A discrete random variable may assume either a finite number of values or an infinite sequence of values. A continuous random variable may assume any numerical value in an interval or collection of intervals. Example: JSL Appliances Discrete random variable with a fini