Chapter Four

Chapter Four - Lecture Notes Chapter Four: Discrete Random...

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Lecture Notes Chapter Four: Discrete Random Variables Randall Miller 1 | Page 1. Two Types of Random Variables Definition 4.1 A random variable is a variable that assumes numerical values associated with the random outcomes of an experiment, where one (and only one) numerical value is assigned to each sample point. Definition 4.2 Random variables that can assume a countable number of values are called discrete . Definition 4.3 Random variables that can assume values corresponding to any of the points contained in and interval are called continuous . 2. Probability Distributions for Discrete Random Variables Definition 4.4 The probability distribution of a discrete variable is a graph, table, of formula that specifies the probability associated with each possible value that the random variable can assume. Requirements for the Probability Distribution of a Discrete Random Variable x 1. ( ) 0 px for all values of x . 2.
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This note was uploaded on 07/23/2011 for the course STA 3123 taught by Professor Staff during the Fall '08 term at FIU.

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Chapter Four - Lecture Notes Chapter Four: Discrete Random...

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