Final answer:
The correct probability that a black ball was drawn from urn II, given it was found to be black, is 1/3 which is not listed in the provided options.
Step-by-step explanation:
The question asks for the probability that a black ball drawn at random is from urn II, given urn I contains 2 red and 8 black balls, and urn II contains 6 red and 4 black balls. This is a classic conditional probability problem which can be solved using Bayes' theorem.
First, let's find the overall probability of drawing a black ball. The probability of choosing urn I is 1/2 (since there are only two urns) and the probability of drawing a black ball from urn I is 8/10. Similarly, the probability of choosing urn II is also 1/2 and the probability of drawing a black ball from urn II is 4/10. Multiplying these and adding gives us the total probability of drawing a black ball:
P(Black) = (1/2)(8/10) + (1/2)(4/10) = 4/10 + 2/10 = 6/10
Next, we need to find the probability that the black ball came from urn II. That's the probability of drawing from urn II multiplied by the probability of drawing a black ball from urn II, divided by the overall probability of drawing a black ball:
P(Urn II | Black) = (Probability of urn II and drawing black) / P(Black)
= (1/2)(4/10) / (6/10) = 2/6 = 1/3
So, option (c) 1/2 is incorrect and the correct answer is none of the provided options.