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10/26/2011
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Plot the following function. This is the pdf for a standard normal random variable.



1

fZ ( z)  e 0.5 z   z  

2





2



z pdf Standard Normal PDF

-5

-4.9 1.2

-4.8

-4.7 1

-4.6

-4.5 0.8

-4.4

-4.3 0.6

-4.2

-4.1 0.4

-4

-3.9 0.2

-3.8

-3.7

0

-3.6

-3.5 -6 -4 -2 0 2 4 6

-3.4

-3.3

-3.2

-3.1

-3

-2.9

-2.8

-2.7

-2.6

-2.5

-2.4

-2.3

-2.2

-2.1

-2

-1.9

-1.8

-1.7

-1.6

-1.5

-1.4

-1.3

-1.2

-1.1

-1

-0.9

-0.8

-0.7

-0.6

-0.5

-0.4

-0.3

-0.2

-0.1

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

2

2.1

2.2

2.3

2.4

2.5

2.6

2.7

2.8

2.9

3

3.1

3.2

3.3

3.4

3.5

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

4.4

4.5

4.6

4.7

4.8

4.9

5

Use NORMDIST to generate values of the pdf and cdf for Z . Note: There are several commands that

could be used, but NORMDIST can be used in a wide variety of situations.

What does your knowledge of calculus tell you about these two graphs?





z pdf cdf

-5

Standard Normal PDF

1.2

-4.9

-4.8 1

-4.7

-4.6 0.8

-4.5

0.6

-4.4

-4.3 0.4

-4.2

-4.1 0.2

-4 0

-3.9

-5 -3 -1 1 3 5

-3.8

-3.7

-3.6 Standard Normal CDF

1.2

-3.5

-3.4 1

-3.3

-3.2 0.8

-3.1 0.6

-3

-2.9 0.4

-2.8

0.2

-2.7

-2.6 0

-2.5 -5 -3 -1 1 3 5

-2.4

-2.3

-2.2

-2.1

-2

-1.9

-1.8

-1.7

-1.6

-1.5

-1.4

-1.3

-1.2

-1.1

-1

-0.9

-0.8

-0.7

-0.6

-0.5

-0.4

-0.3

-0.2

-0.1

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

2.0

2.1

2.2

2.3

2.4

2.5

2.6

2.7

2.8

2.9

3.0

3.1

3.2

3.3

3.4

3.5

3.6

3.7

3.8

3.9

4.0

4.1

4.2

4.3

4.4

4.5

4.6

4.7

4.8

4.9

5.0

Use NORMDIST to plot pdfs of two non-standard nomral random variables. How does the value of the

mean and standard deviation affect the graphs?

 x 

2

0.5

Note: The general formula for the pdf is f X ( x) 

1

e      x  

 2





  2,   1   0,   0.5

x pdf pdf 1.2

-5

-4.9 1 N (0, 0.5)

-4.8

0.8

-4.7

-4.6

0.6

-4.5

-4.4

0.4

-4.3

-4.2 N (2,1)

0.2

-4.1

-4 0

-3.9

-4 -3 -2 -1 0 1 2 3 4 5 6

-3.8

-3.7

-3.6

-3.5

-3.4

-3.3

-3.2

-3.1

-3

-2.9

-2.8

-2.7

-2.6

-2.5

-2.4

-2.3

-2.2

-2.1

-2

-1.9

-1.8

-1.7

-1.6

-1.5

-1.4

-1.3

-1.2

-1.1

-1

-0.9

-0.8

-0.7

-0.6

-0.5

-0.4

-0.3

-0.2

-0.1

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

1.9

2

2.1

2.2

2.3

2.4

2.5

2.6

2.7

2.8

2.9

3

3.1

3.2

3.3

3.4

3.5

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

4.4

4.5

4.6

4.7

4.8

4.9

5

Let X be a normal random variable with mean 35 and variance 25. Let Z be the standard normal rv.

Use NORMDIST and NORMINV to find the following:





1. Find P ( X  40)









2. Find P ( Z  1.2)









3. Find P(     Z     )









4. Find the value of b so that P(Z  b)  0.6







5. Find the value of b so that P(b  Z  b)  0.96

Example: Use the standard normal random variable to find the probability



P ( X  10) where X N (7,3)





 X  7 10  7 

P ( X  10)  P  

 3 3 

 P ( Z  1)

 0.841345









1) Use the standard normal random variable to find



P(20  Y  50) where Y N (40,18)









2) Use the standard normal random variable to find b so that





P(b  T  b)  0.95 where T N (0, 4.6)



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