Unformatted text preview: Random Variables A random variable is a numeric quantity that changes from trial to trial in a random process. Examples: X = Number of home team wins in World Series Y= Sum of two dice rolls G = Grade on next statistics exam T = Time to run one mile W = Weight of a rat Statistics: Unlocking the Power of Data Lock5 Discrete vs. Continuous A random variable is discrete if it has a Dinite set of possible values. (counting) X = Home wins in World Series = {0, 1, 2, … , 7} Y = Sum of two dice rolls = {2, 3, … , 12} A random variable is continuous if it has values within some interval. (measurement) T = Time to run one mile W= Weight of a rat Statistics: Unlocking the Power of Data Lock5 Discrete Versus Continuous 1. A random variable is called Discrete if the outcomes are values that can be listed or counted. A. TRUE...
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This document was uploaded on 03/03/2014.
 Spring '14

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