Question

In: Statistics and Probability

Consumer Banker Association released a report showing the lengths of automobile leases for new automobiles. The...

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.

Solutions

Expert Solution

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)


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