OPRE 6301-SYSM 6303 Chapter 08 -Students

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    OPRE 6301/SYSM 6303Quantitative Introduction to Risk and

    Uncertainty in Business

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    Chapter EightContinuous Probability Distributions

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    Probability Density Functions

    What if we want to determine the probability of abill chosen at random being between 50 and 80?

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    Probability Density Functions

    Relative Frequency divided by Class Width

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    Probability Density Functions

    Determine the area of the histogram bars of therange of interest and add them together.

    8-7

    Probability Density Functions

    As the number of classes increases to a large

    number, we can smooth the edges of therectangles to produce a smooth curve.

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    Probability Density Functions

    RequirementsApply to a probability density

    function f(x) whose range is

    The total area under the curvebetween a and b is 1.

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    b xa  

    ba x x f    and betweenallfor0)(  

    Uniform ProbabilityDistribution

    Density Function

    8-15

    b xawhereab

     x f    

     1

    )(

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    Uniform ProbabilityDistribution

    We can use the density function, f(x),to determine the area under the curve

    between two values  x1 and  x 2The area under the curve is the probability

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    Uniform ProbabilityDistribution

    Let’s investigate

    The amount of gasoline sold dailyat a service station is uniformly distributed

    with a minimum of 2,000 gallons and

    a maximum of 5,000 gallons

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    Uniform ProbabilityDistribution

    What is the probability that daily sales will fallbetween 2,500 and 3,000 gallons?

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    Uniform ProbabilityDistribution

    What is the probability that the service station will

    sell at least 4,000 gallons?

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    Uniform ProbabilityDistribution

    What is the probability that the service station willsell exactly 2,500 gallons?

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    Normal ProbabilityDistribution

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    Normal ProbabilityDistribution

    Same variance with different means

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    Normal ProbabilityDistribution

    Same means with different variances

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    Normal ProbabilityDistribution

    Calculating normal probabilities

    Use the standard normal random variable, Z:

    8-26

     

     

     X  Z 

    Normal ProbabilityDistribution

    Let’s investigate

    Daily demand for gasoline at another gas stationis normally distributed with a mean of 1,000

    gallons and a standard deviation of 100 gallons.

    The owner has 1,100 gallons available to sell.What is the probability the owner will be able to

    satisfy the day’s demand?

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    Normal ProbabilityDistribution

    Let’s investigate

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    ?)100,1(    X  P 

    Normal ProbabilityDistribution

    Let’s investigate

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    ?)0.1(    Z  P 

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    Normal ProbabilityDistribution

    The Standard Normal Distribution Table

    Z-table

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    Normal ProbabilityDistribution

    Let’s investigate

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    8413.0)0.1(    Z  P 

    8413.0)100,1(    X  P 

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    Normal ProbabilityDistribution

    Finding a Z-value for a given probability value

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    Normal ProbabilityDistribution

    8-37Z0.025

      =1.96

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    Normal ProbabilityDistribution

    8-39

    Z0.05

      =1.645

    Normal ProbabilityDistribution

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