pp.87-92 fall09

# pp.87-92 fall09 - 87 Discrete Probability Distributions A...

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Discrete Probability Distributions A discrete probability distribution can be represented by a table with two columns. The first column lists the possible values of the discrete random variable. The second column is a list of their corresponding probabilities. A random variable is a numerical description of the outcome of a statistical experiment. A random variable that can assume either a finite number of values or an infinite sequence of values is a discrete random variable . Examples of discrete random variables . 1. The number of students in class on a given day. 2. The number of remaining SEC football games that USC will win. 3. The number of stocks in the DJIA that end in the red today. 4. The number of vehicles sold by Midlands Honda this month. 5. The number of customers contacted today who place an order. 87

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A random variable that may assume any numerical value in an interval is called a continuous random variable . Examples of continuous random variables would be: 1. Amount of jet fuel used by a Boeing 737 on USAir Flt. No. 1470 2. Amount of coffee in a large Dunkin Donuts’
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pp.87-92 fall09 - 87 Discrete Probability Distributions A...

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