Question

In: Statistics and Probability

1.The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet...

1.The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes​ (BMI) for beauty pageant winners from two different time periods. Find the coefficient of variation for each of the two sets of​ data, then compare the variation.

BMI​ (from the 1920s and​ 1930s):

20.4

21.9

22.1

22.2

20.3

18.7

18.9

19.4

18.5

19.1

BMI​ (from recent​ winners):

19.5

20.3

19.7

20.1

17.7

17.9

19.1

18.7

17.7

16.8

a) The coefficient of variation for the​ BMI's of beauty pageant winners from the 1920s and 1930s is-------% ?

b)The coefficient of variation for the​ BMI's of recent beauty pageant winners is-----%?

c) Is there a difference in variation between the two data sets ?

2. Because the mean is very sensitive to extreme​ values, it is not a resistant measure of center. The trimmed mean is more resistant. To find the​ 10% trimmed mean for a data​ set, first arrange the data in​ order, then delete the bottom​ 10% of the values and the top​ 10% of the​ values, then calculate the mean of the remaining values. For the following​ credit-rating scores.

706

715

784

809

799

795

716

680

767

609

695

832

770

329

653

564

737

789

704

755

a. The mean is......?

(b) the​ 10% trimmed​ mean is.....?

​ (c) the​ 20% trimmed mean is...?

d) How do the results​ compare?

Solutions

Expert Solution

1)

A)

X (X - X̄)²
20.4 0.06
21.9 3.06
22.1 3.80
22.2 4.20
20.3 0.02
18.7 2.10
18.9 1.563
19.4 0.563
18.5 2.723
19.1 1.102
X (X - X̄)²
total sum 201.5 19.21
n 10 10

mean =    ΣX/n =    201.500   /   10   =   20.15
                            
sample std dev =   √ [ Σ(X - X̄)²/(n-1)] =   √   (19.205/9)   =       1.46
coefficient of variation,CV=σ/µ=   0.07

The coefficient of variation for the​ BMI's of beauty pageant winners from the 1920s and 1930s is 7%

B)

X (X - X̄)²
19.5 0.56
20.3 2.40
19.7 0.90
20.1 1.82
17.7 1.10
17.9 0.72
19.1 0.123
18.7 0.002
17.7 1.102
16.8 3.802
X (X - X̄)²
total sum 187.5 12.55
n 10 10

mean =    ΣX/n =    187.500   /   10   =   18.75
                            
sample std dev =   √ [ Σ(X - X̄)²/(n-1)] =   √   (12.545/9)   =       1.18
coefficient of variation,CV=σ/µ=   0.06

The coefficient of variation for the​ BMI's of recent beauty pageant winners iS 6%

c) Is there a difference in variation between the two data sets ?

difference in variation is of 1%

..............................

2)

a)

X
total sum 14208
n 20

mean =    ΣX/n =    14208.000   /   20   =   710.40

b)

trimmed percent=   10.00%
n=   20
n*trimmed percent= 2

2 values will be removed from top and bottom


so now data set---------

10% TRIMMED
609
653
680
695
704
706
715
716
737
755
767
770
784
789
795
799
X
total sum 11674
n 16

10% trimmed mean= 11674 / 16 = 729.63

c)

trimmed percent=   20.00%
n=   20
n*trimmed percent=   4

so 4 values will be remove from top and bottom

20% TRIMMED
680
695
704
706
715
716
737
755
767
770
784
789
X
total sum 8818
n 12

20% trimmed mean = 8818 / 12 =734.833

d)

mean =   710.40
10% trimmed mean   = 729.63

20% trimmed mean =734.833

mean < 10% trimmed mean <20% trimmed mean

10% trimmed mean has been increased drastically due to removal of lower bound extreme value.


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