In: Statistics and Probability
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 |
14.8% 36.4% 29.5% 18.6% 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 | months |
standard deviation |
(b) Sketch a graph of the probability distribution for the duration
of new auto leases.
Solution:
Midpoint of each class can be calculated as
Midpoint = (Lower class limit+Upper class limit)/2
Lease Length in Months | P(% of Leases) | Midpoints of Each classes(M) |
13-24 | 0.148 | 18.5 |
25-36 | 0.364 | 30.5 |
37-48 | 0.295 | 42.5 |
49-60 | 0.186 | 54.5 |
More than 60 | 0.007 | 66.5 |
Expected Lease term can be calculated as
Expected lease =
(Mi * Pi) = (0.148*18.5) + (0.364*30.5) + (0.295*42.5) +
(0.186*54.5) + (0.007*66.5)
Lease Length in Months | % of Leases | Midpoints of Each classes | P*M |
13-24 | 0.148 | 18.5 | 2.738 |
25-36 | 0.364 | 30.5 | 11.102 |
37-48 | 0.295 | 42.5 | 12.5375 |
49-60 | 0.186 | 54.5 | 10.137 |
More than 60 | 0.007 | 66.5 | 0.4655 |
Expected Lease(mean) = (2.738 + 11.102+12.5375+10.137+0.4655) =
36.98
Standard deviation can be calculated as
Standard deviation = sqrt(((Mi
- Mean)^2 * Pi)) = sqrt(((18.5-36.98)^2 *0.148 + (30.5-36.98)^2 *
0.364 + (42.5-36.98)^2 * 0.295 + (54.5-36.98)^2 * 0.186 +
(66.5-36.98)^2 * 0.007))
Lease Length in Months | % of Leases | Midpoints of Each classes | P*M | (M-mean) | (M-mean)^2 | (M-mean)^2 * P |
13-24 | 0.148 | 18.5 | 2.738 | -18.48 | 341.5104 | 50.54354 |
25-36 | 0.364 | 30.5 | 11.102 | -6.48 | 41.9904 | 15.28451 |
37-48 | 0.295 | 42.5 | 12.5375 | 5.52 | 30.4704 | 8.988768 |
49-60 | 0.186 | 54.5 | 10.137 | 17.52 | 306.9504 | 57.09277 |
More than 60 | 0.007 | 66.5 | 0.4655 | 29.52 | 871.4304 | 6.100013 |
Standard deviation =
sqrt(50.54354+15.28451+8.988768+57.09277+6.100013) = sqrt(138.0096)
= 11.75
Solution(b)