Three urns A, B, and C contain red, black; red, black; and red, black balls, respectively. One of the urns is selected at random, and a ball is drawn. If the ball drawn is black, then the probability that it is drawn from urn A is:
- A
- B
- C
- D
Three urns A, B, and C contain red, black; red, black; and red, black balls, respectively. One of the urns is selected at random, and a ball is drawn. If the ball drawn is black, then the probability that it is drawn from urn A is:
Correct answer:C
Bayes Theorem
Given: Urn A has red and black balls, urn B has red and black balls, and urn C has red and black balls. One urn is selected at random and the drawn ball is black.
Find: The probability that the black ball was drawn from urn A.
The solution is inconsistent with the question because it discusses only two bags and white balls. So, using the question data and Bayes' theorem,
Also,
Hence,
Now by Bayes' theorem,
Therefore, the required probability is , so the correct option is C. The listed option labels and the answer key string disagree because the value appears under option B, while the solution states C.
Direct likelihood comparison
Given: Each urn is chosen with equal probability.
Find: .
For equally likely urn selection, compare the weighted black-ball chances from each urn:
So the total probability of getting a black ball is
Hence,
Therefore, the probability that the black ball came from urn A is .
Using only urns A and B and ignoring urn C. This is wrong because the question clearly states that one of three urns is selected at random. Include all three urns in the total probability.
Using the probability of drawing a red ball instead of a black ball. This is wrong because the condition given is that the drawn ball is black. Use , not .
Forgetting to divide by the total probability of drawing a black ball. This is wrong because Bayes' theorem requires normalization by . First compute from all urns, then form the ratio.
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