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chapter5 - CHAPTER 5: DISCRETE PROBABILITY DISTRIBUTIONS...

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CHAPTER 5: DISCRETE PROBABILITY DISTRIBUTIONS Objectives: 1. Understand the definition of random variable and be able to determine whether a random variable is discrete or continuous. 2. Understand the definition of probability distribution and probability function. 3. Be able to graph a discrete probability distribution. 4. Be able to calculate the mean and variance of a discrete probability distribution.
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I. Section 5.1: Introduction A. A Random Variable is a variable whose values correspond to the outcome of an experiment. B. A numerical random variable can be classified as being either discrete or continuous . 1. A discrete random variable is one that may assume either a finite number of values or an infinite sequence of values such as 0,1,2,… (arises from the counting process) 2. A continuous random variable is one that may assume any numerical value in an interval or collection of intervals. (arises from a measuring process)
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II. Discrete Probability Distribution (Section 5.2) A. A
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This note was uploaded on 04/13/2008 for the course ISDS 2000 taught by Professor Nunnery during the Spring '08 term at LSU.

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chapter5 - CHAPTER 5: DISCRETE PROBABILITY DISTRIBUTIONS...

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