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Continuous Probability Distributions

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Pep Zone sells auto parts and supplies including a. popular multi-grade motor oil. ... If the manager of Pep Zone wants the probability of a stockout to be no more ... – PowerPoint PPT presentation

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Title: Continuous Probability Distributions


1
Continuous Probability Distributions
  • Normal Probability Distribution

f(x)
x
?
2
Continuous Probability Distributions
  • A continuous random variable can assume any value
    in an interval on the real line or in a
    collection of intervals.
  • It is not possible to talk about the probability
    of the random variable assuming a particular
    value.
  • Instead, we talk about the probability of the
    random variable assuming a value within a given
    interval.
  • The probability of the random variable assuming a
    value within some given interval from x1 to x2 is
    defined to be the area under the graph of the
    probability density function between x1 and x2.

3
Normal Probability Distribution
  • Graph of the Normal Probability Density Function

x1
x2
4
Normal Probability Distribution
  • Graph of the Normal Probability Density Function

x1
x2
5
Normal Probability Distribution
  • The shape of the normal curve is often
    illustrated as a bell-shaped curve.
  • Two parameters, m (mean) and s (standard
    deviation), determine the location and shape of
    the distribution.
  • The highest point on the normal curve is at the
    mean, which is also the median and mode.
  • The mean can be any numerical value negative,
    zero, or positive.
  • continued

Characteristics of the Normal Probability
Distribution
6
Normal Probability Distribution
  • The normal curve is symmetric.
  • The standard deviation determines the width of
    the curve larger values result in wider, flatter
    curves.
  • The total area under the curve is 1 (.5 to the
    left of the mean and .5 to the right).
  • Probabilities for the normal random variable are
    given by areas under the curve.

Characteristics of the Normal Probability
Distribution
7
Normal Probability Distribution
  • of Values in Some Commonly Used Intervals
  • 68.26 of values of a normal random variable are
    within /- 1 standard deviation of its mean.
  • 95.44 of values of a normal random variable are
    within /- 2 standard deviations of its mean.
  • 99.72 of values of a normal random variable are
    within /- 3 standard deviations of its mean.

8
x4
x6
x1
x2
x3
x5
z
-1
-2
1
-3
2
3
.6826
9
x4
x6
x1
x2
x3
x5
z
-1
-2
1
-3
2
3
.9544
10
x4
x6
x1
x2
x3
x5
z
-1
-2
1
-3
2
3
.9972
11
Normal Probability Distribution
  • Normal Probability Density Function
  • where
  • ? mean
  • ? standard deviation
  • ? 3.14159
  • e 2.71828

12
Standard Normal Probability Distribution
  • A random variable that has a normal distribution
    with a mean of zero and a standard deviation of
    one is said to have a standard normal probability
    distribution.
  • The letter z is commonly used to designate this
    normal random variable.
  • Converting to the Standard Normal Distribution
  • We can think of z as a measure of the number of
    .....standard deviations x is
    from ?.

13
Standard Normal Probability Distribution
? 0 ? 1
P 1.0
14
Standard Normal Probability Distribution
? 0 ? 1
P .5
P .5
15
Standard Normal Probability Distribution
? 0 ? 1
f(z)
z
1
0
16
  • Using the Standard Normal Probability Table
    (Table 1)

17
  • Using the Standard Normal Probability Table
    (Table 1)

18
  • Using the Standard Normal Probability Table
    (Table 1)

19
Standard Normal Probability Distribution
? 0 ? 1
f(z)
z
1
0
20
Standard Normal Probability Distribution
? 0 ? 1
f(z)
z
1
0
21
Standard Normal Probability Distribution
? 0 ? 1
f(z)
z
1
0
22
Standard Normal Probability Distribution
? 0 ? 1
f(z)
z
1
0
23
Using the Standard Normal Probability Table
24
Using Excel to ComputeNormal Probabilities
  • Excel has two functions for computing
    probabilities and z values for a standard normal
    distribution
  • NORMSDIST is used to compute the cumulative
    probability given a z value.
  • NORMSDIST(z)
  • NORMSINV is used to compute the z value given a
    cumulative probability.
  • NORMSINV(z)
  • (The letter S in the above function names reminds
    us
  • that they relate to the standard normal
    probability
  • distribution.)

25
Using Excel to ComputeNormal Probabilities
  • Formula Worksheet

26
Using Excel to ComputeNormal Probabilities
  • Value Worksheet

27
Using Excel to ComputeNormal Probabilities
  • Formula Worksheet

28
Using Excel to ComputeNormal Probabilities
  • Value Worksheet

29
Example Pep Zone
  • Standard Normal Probability Distribution
  • Pep Zone sells auto parts and supplies including
    a
  • popular multi-grade motor oil. When the stock of
    this
  • oil drops to 20 gallons, a replenishment order is
    placed.
  • The store manager is concerned that sales are
    being
  • lost due to stockouts while waiting for an order.
    It has
  • been determined that leadtime demand is normally
  • distributed with a mean of 15 gallons and a
    standard
  • deviation of 6 gallons.
  • The manager would like to know the probability
    of a
  • stockout, P(x 20).

30
Example Pep Zone
? 15 ? 6
P(x 20)
20
31
Example Pep Zone
? 15 ? 6
20
z
0
32
Example Pep Zone
? 15 ? 6
20
z
.83
0
33
Example Pep Zone
  • Standard Normal Probability Distribution
  • The Standard Normal table shows an area of .7967
    for the region below z .83. The shaded tail
    area is 1.00 - .7967 .2033. The probability of
    a stock-out is .2033.

Area .7967
Area 1.00 - .7967 .2033
z
0
.83
34
Example Pep Zone, Using Excel
  • Formula Worksheet

35
Example Pep Zone, Using Excel
  • Formula Worksheet

36
Example Pep Zone
  • Standard Normal Probability Distribution
  • If the manager of Pep Zone wants the
    probability of a stockout to be no more
    than .05, what should the reorder point be?
  • Let z.05 represent the z value cutting the .05
    tail area.

Area .05
Area .95
z.05
0
37
Example Pep Zone
  • Using the Standard Normal Probability Table
  • We now look-up the .9500 area in the Standard
    Normal Probability table to find the
    corresponding z.05 value.
  • z.05 1.645 is a reasonable estimate.

38
Example Pep Zone
  • Standard Normal Probability Distribution
  • If the manager of Pep Zone wants the probability
    of a stockout to be no more than .05,
    what should the reorder point be?

Area .05
Area .95
z
1.645
0
39
Example Pep Zone, Using Excel
  • Formula Worksheet

40
Example Pep Zone, Using Excel
  • Formula Worksheet

41
Example Pep Zone
  • Standard Normal Probability Distribution
  • The corresponding value of x is given by
  • A reorder point of 24.87 gallons will place the
    probability of a stockout during leadtime at .05.
    Perhaps Pep Zone should set the reorder point
    at 25 gallons to keep the probability under .05.

42
Using Excel to ComputeNormal Probabilities
  • Excel has two functions for computing cumulative
    probabilities and x values for any normal
    distribution
  • NORMDIST is used to compute the cumulative
    probability given an x value.
  • NORMDIST(x,mean,standard deviation,TRUE)
  • NORMINV is used to compute the x value given a
    cumulative probability.
  • NORMINV(probability,mean,standard deviation)

43
Example Pep Zone, Using Excel
  • Formula Worksheet for Pep Zone Example

44
Example Pep Zone, Using Excel
  • Formula Worksheet for Pep Zone Example

Note P(x 20) .2023 here using Excel, while
our previous manual approach using the z table
yielded .2033 due to our rounding of the z value.
45
End of Chapter 6
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