Question

In: Statistics and Probability

CASE STUDY: Chest Sizes of Scottish Militiamen (p. 306): Chest Size Frequency 33 3 34 19...

CASE STUDY: Chest Sizes of Scottish Militiamen (p. 306):

Chest Size

Frequency

33

3

34

19

35

81

36

189

37

409

38

753

39

1062

40

1082

41

935

42

646

43

313

44

168

45

50

46

18

47

3

48

1

  1. The population mean and population standard deviation of the chest circumferences are 39.85 and 2.07, respectively, identify the normal curve that should be used for the chest circumferences
  2. Use the table above to find the percentage of militiamen in the survey with chest circumference between 36 and 41 inches, inclusive. Note: as the circumferences were rounded to the nearest inch, you are actually finding the percentage of militiamen in the survey with chest circumference between 35.5 and 41.5 inches
  3. Use the normal curve you identified in part (a) to obtain an approximation to the percentage of militiamen in the survey with chest circumference between 35.5 and 41.5 inches. Compare your answer to the exact percentage found in part (b).

Solutions

Expert Solution

Solution:

a)

So the normal curve we can use is Normal( 39.85, 2.07)

b)

Number of militiamen with chest circumference between 36 and 41 inches is : N

N = 189 + 409 + 753 + 1062 + 1082 + 935 = 4430

Total number of militiamen = 5732

Required percentage = N / Total number of militiamen = 4430 / 5732 = 0.7728 = 77.28%

c)

Required probability is thus

(using cumulative probability distribution we can write this as shown)

.............................(1)   

Now we will find corresponding Z score for the value of x using the identity given below

so Z score for x = 35.5    

Z score for x = 41.5

Required probability thus can now be written with respect to Z score as follows:

P(Z < -2.1014) = 0.0174

P(Z < 0.7971) = 1 - P(Z < -0.7971) = 0.7852 ( Since the normal curve is symmetrical )

Required probability = 0.7852 - 0.0174 = 0.7678  

Required percentage = 76.78%

Comparing the exact percentage 77.28% with estimate percentage 76.78%, we find that both are approximately equal, thus normal approximation in this problem is very appropriate.


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