In: Statistics and Probability
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?
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.