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Answer: 81%
The question is a conditional probability problem. To determine the probability that a randomly selected late mortgage is a subprime mortgage, we follow these steps: 1. Calculate the total number of mortgages that are late: - There are 200 subprime mortgages that are late and 48 prime mortgages that are late. - Total late mortgages = 200 (subprime late) + 48 (prime late) = 248. 2. Calculate the total number of mortgages in the portfolio: - There are 1,000 subprime mortgages and 600 prime mortgages. - Total mortgages = 1,000 (subprime) + 600 (prime) = 1,600. 3. Calculate the probability that a randomly selected mortgage is late: - P(Mortgage is late) = Total late mortgages / Total mortgages - P(Mortgage is late) = 248 / 1,600 = 15.5%. 4. Calculate the probability that a randomly selected mortgage is both subprime and late: - P(Subprime mortgage and late) = Number of subprime late mortgages / Total mortgages - P(Subprime mortgage and late) = 200 / 1,600 = 12.5%. 5. Use the conditional probability formula to find the probability that a mortgage is subprime given that it is late: - P(Subprime mortgage | Mortgage is late) = P(Subprime mortgage and late) / P(Mortgage is late) - P(Subprime mortgage | Mortgage is late) = 12.5% / 15.5% = 0.81 or 81%. Therefore, the probability that a randomly selected late mortgage from the portfolio is a subprime mortgage is 81%. The correct answer is D.
Author: LeetQuiz Editorial Team
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In a portfolio containing a total of 1,000 subprime mortgages and 600 prime mortgages, it is identified that 200 of the subprime mortgages and 48 of the prime mortgages are overdue. Calculate the probability that a mortgage selected at random from the overdue mortgages is categorized as a subprime mortgage.
A
60%
B
67%
C
75%
D
81%