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2	Chapter 3, Part A Probability Distributions Random Variables Discrete Probability Distributions Binomial Probability Distribution Poisson Probability Distribution
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6	Example: JSL Appliances Discrete random variable with a finite number of values
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10	Example: DiCarlo Motors, Inc.
11	Example: DiCarlo Motors, Inc. Graphical Representation of the Probability Distribution
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14	Expected Value and Variance
15	Example: DiCarlo Motors, Inc. Expected Value of a Discrete Random Variable
16	Example: DiCarlo Motors, Inc. Variance and Standard Deviation of a Discrete Random Variable
17	"Four Properties of a Binomial..." Four Properties of a Binomial Experiment
18	Binomial Probability Distribution
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22	Example: Nastke Clothing Store Tree Diagram
23	Binomial Probability Distribution Expected Value Variance Standard Deviation
24	Example: Nastke Clothing Store Binomial Probability Distribution Expected Value Variance Standard Deviation
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28	Poisson Probability Distribution Poisson Probability Function
29	Example: Drive-up Teller Window Poisson Probability Function: Time Interval Suppose that we are interested in the number of arrivals at the drive-up teller window of a bank during a 15-minute period on weekday mornings. If we assume that the probability of a car arriving is the same for any two time periods of equal length and that the arrival or non-arrival of a car in any time period is independent of the arrival or non-arrival in any other time period, the Poisson probability function is applicable. Then if we assume that an analysis of historical data shows that the average number of cars arriving during a 15-minute interval of time is 10, the Poisson probability function with l = 10 applies.
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33	End of Chapter 3, Part A