Consumer Banker Association released a report showing the lengths of automobile leases for new automobiles. The results are as follows.
Lease Length in Months | Percent of Leases |
13-24 25-36 37-48 49-60 More than 60 |
15.4% 36.4% 25.6% 21.9% 0.7% |
(a) Use the midpoint of each class, and call the midpoint of the last class 66.5 months, for purposes of computing the expected lease term. Also find the standard deviation of the distribution. (Round your answers to two decimal places.)
expected lease term | |
standard deviation |
Solution:
The formula for mean and standard deviation for the probability distribution is given as below:
Mean = ∑XP(X)
Variance = ∑ P(X)*(X - mean)^2
SD = sqrt[∑ P(X)*(X - mean)^2]
The calculation table is given as below:
Class |
Midpoint X |
P(X) |
XP(X) |
(X - Mean)^2 |
P(X)*(X - mean)^2 |
13 to 24 |
18.5 |
0.154 |
2.849 |
350.887824 |
54.0367249 |
25 to 36 |
30.5 |
0.364 |
11.102 |
45.319824 |
16.49641594 |
37 to 48 |
42.5 |
0.256 |
10.88 |
27.751824 |
7.104466944 |
49 to 60 |
54.5 |
0.219 |
11.9355 |
298.183824 |
65.30225746 |
More than 60 |
66.5 |
0.007 |
0.4655 |
856.615824 |
5.996310768 |
Total |
1 |
37.232 |
148.936176 |
From above table, we have
Mean = ∑XP(X) = 37.232
Expected lease term = Mean = 37.232
Variance = ∑ P(X)*(X - mean)^2
Variance = 148.936176
SD = sqrt(148.936176)
Standard deviation = 12.203941
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