However, there is only a 1% chance that a customer who has never overdrawn an account will default on the loan. Based on the customer’s credit history, the loan officer believes there is a 40% chance that this customer will overdraw his account. Let O be the event that customer overdraws his account, and let D be the event that the customer defaults on the loan. Use tree diagram to answer b) and c).
(a)
The value of P\left( {D \cap O} \right)P(D∩O) is obtained below:
Define the events:
Let D be the event that the customer defaults on the loan
Let O be the event that customer overdraws his account
From the given information,
P(D|O) = 0.08,P(D|Oˉ)=0.01,P(O)=0.4.
P(D|O) = P(D∩O)/ P(O)
P(D|O) = P(D|O)P(O)
= 0.08×0.40
= 0.032
The value of the value of P(D) is obtained below:
P(Oˉ) = 1−P(O)
= 1−0.4
= 0.6
P(D∣Oˉ) = P(D∩Oˉ) / P(Oˉ)
P(D∩Oˉ) = P(D∣Oˉ)×P(Oˉ)
= 0.01×0.6
= 0.006
P(D∩Oˉ) = P(D)−P(D∩O)
P(D) = P(D∩Oˉ)+P(D∩O)
= 0.006+0.032
= 0.038
The independence of default on the loan and overdraw is obtained below:
Consider,
P(D)×P(O) = 0.038×0.40
= 0.0152
≠ P(D∩O)
Hence, the condition P(D∩O)=P(D)×P(O) is not satisfied. Therefore, the events D and O are not independent.
Thus, the event default on the loan is not independent on the overdraw.
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