Advanced Math/Conditional probability
Expert: Paul Klarreich - 9/23/2011
QuestionA bank has a test designed to establish the credit rating of a loan applicant. of the persons, who default (D), 90% fail the test (f). of the persons, who will repay the bank (ND), 5% fail the test. Futhermore, it is given that 4% of the population is not worthy of credit i.e. P(D)=0.04. Given that someone failed the test,what is the probability that he actually will default(when given a loan)?
AnswerQuestioner:devesh
Country:India
Category:Advanced Math
Private:No
Subject:probability
Question:
A bank has a test designed to establish the credit rating of a loan applicant. of the persons, who default (D), 90% fail the test (f). of the persons, who will repay the bank (ND), 5% fail the test. Futhermore, it is given that 4% of the population is not worthy of credit i.e. P(D)=0.04. Given that someone failed the test, what is the probability that he actually will default(when given a loan)?
Let events be designated:
F = a person fails the test.
D = a person defaults. (pays is -D)
Now:
"of the persons, who default (D), 90% fail the test (f)" means:
p(F,given D) = 0.90
"of the persons, who will repay the bank (ND), 5% fail the test"
p(F,given -D) = 0.05
By definition: P(A, given B) = p(A and B)/p(B)
And: p(A and B) + p(A and -B) = p(A)
If p(F,given D) = 0.90,
then p(F and D)/p(D) = 0.90
and p(F and D) = 0.90 p(D)
If p(F, given -D) = 0.05
then p(F and -D)/p(-D) = 0.05
p(F and -D) = 0.05 p(-D)
p(F and -D) = 0.05 (1 - p(D))
p(F and -D) = 0.05 - 0.05 p(D)
p(F and D) = 0.90 p(D)
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p(F and -D) + p(F and D) = 0.05 + 0.85 p(D)
p(F) = 0.05 + 0.85 p(D)
But you said that p(D) = 0.04, so
p(F) = 0.05 + 0.85 (0.04) <<< You compute this.
Finally, "Given that someone failed the test, what is the probability that he actually will default" means:
find p(D, given F)
p(D, given F) = p(F and D) / p(F)
I think you can finish this up.