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Complete the following CNP Bank Card Case and answer the accompanying questions

ID: 3309205 • Letter: C

Question

Complete the following CNP Bank Card Case and answer the accompanying questions

Before banks issue a credit card, they usually rate or score the customer in terms of his or her projected probability of being a profitable customer. A typical scoring table appears below.

Age    

Under 25        25–29           30–34            35 +

(12 pts.)        (5 pts.)         (0 pts.)         (18 pts.)

Time at Same Address

<1 yr.           1–2 yrs.        3–4 yrs.        5+  yrs.

(9 pts.)         (0 pts.)         (13 pts.)        (20 pts.)

Auto age

None            0–1yr.           2–4 yrs.        5+ yrs.

(18 pts.)        (12 pts.)        (13 pts.)        (3 pts.)

Monthly Car Payment

None            $1–$99          $100–$299     $300+

                    (15 pts.)        (6 pts.)         (4 pts.)         (0 pts.)

Housing Cost

$1–$199        $200–$399      Owns           Lives with relatives

                    (0 pts.)         (10 pts.)        (12 pts.)        (24 pts.)       

Checking/Savings Accounts

                    Both              Checking Only Savings Only  Neither

                    (15 pts.)        (3 pts.)         (2 pts.)         (0 pts.)

The score is the sum of the points on the six items. For example, Sushi Brown is under 25 years old (12 pts.), has lived at the same address for 2 years (0 pts.), owns a 4-year-old car (13 pts.), with car payments of $75 (6 pts.), housing cost of $200 (10 pts.), and a checking account (3 pts.). She would score 44. A second chart is then used to convert scores into the probability of being a profitable customer. A sample chart of this type appears below.

Score             30      40      50      60      70      80      90

Probability      .70     .78     .85     .90     .94     .95     .96

Sushi’s score of 44 would translate into a probability of being profitable of approximately .81. In other words, 81 percent of customers like Sushi will make money for the bank card operations.  Here are the interview results for three potential customers.

David            Edward          Ann

Name                               Born             Brendan          McLaughlin

Age                                  42                23                  33

Time at same address         9                  2                    5

Auto age                           2                  3                    7

Monthly car payment           $140             $99                 $175

Housing cost                      $300             $200               Owns clear

Checking/savings accounts   Both             Checking only   Neither

1. Score each of these customers and estimate their probability of being profitable.

2. What is the probability that all three are profitable?

3. What is the probability that none of them are profitable?

4. Find the entire probability distribution for the number of profitable customers among this group of three.

5. Write a brief summary of your findings.

Explanation / Answer

1. David

Time at address

Hence, Probability of David being profitable is 0.95.

Edward

Time at address

Edward has a probability of 0.81 by interpolating the value of probability between scores 40 and 50.

P(44) = P(40)+(44-40)*(P(50)-P(40))/(50-40)

Ann

Time at address

The probability of Ann being profitable is 0.77 by interpolating between scores 30 and 40.

P(39) = P(30)+(39-30)*(P(39)-P(30))/(40-30)

Hence the probabilities are:

David: 0.95

Edward: 0.81

Ann: 0.77

2.

The probabiity of all 3 being profitable = P(D)*P(E)*P(A) {Assuming Independence}

= 0.95*0.81*0.77

The probabiity of all 3 being profitable = 0.593

3.

The probability of none of them being profitable = (1-P(D))*(1-P(E))*(1-P(A)) {Assuming Independence}

= 0.05*0.19*0.23

The probability of none of them being profitable = 0.0022

4.

From the previous parts, we know that,

P(Number of profitable = 3) = 0.593

P(Number of profitable = 0) = 0.002

P(Number of profitable = 1) = P(D)*(1-P(E))*(1-P(A)) + (1-P(D))*P(E)*(1-P(A)) + (1-P(D))*(1-P(E))*P(A) = 0.95*0.19*0.23 + 0.05*0.81*0.23 + 0.05*0.19*0.77 = 0.041+0.009+0.007 = 0.057

P(Number of profitable = 2) = P(D)*P(E)*(1-P(A)) + (1-P(D))*P(E)*P(A) + P(D)*(1-P(E))*P(A) = 0.95*0.81*0.23 + 0.05*0.81*0.77 + 0.95*0.19*0.77 = 0.177+0.031+0.140 = 0.348

Hence the probability distribution is:

5. The scoring criteria for credit rating gives the weightages to different factors denoting financial capabilities of an individual. The combined score can be directly converted to probabilities using the chart. The probabilities show that there is very little chance of all 3 being unprofitable and a 94% chance of at least 2 of them being profitable.

Category Value Points Age 42 18

Time at address

9 20 Auto age 2 13 Monthly Car Payment 140 4 Housing Cost 300 10 Checking/Savings Both 15 Total 80 points