Consider the following question from Manhattan Prep's GRE kit. Here's an image with the question and answer given by Manhattan prep. I'll write the question below as well:
Six billiard balls, numbered 1 to 6, are placed in a box. Three of them are colored red, and three of them are colored blue. One ball is randomly drawn from the box. What's the probability that the ball drawn will be an even numbered red ball?
According to manhattanprep, the probability cannot be computed since we don't have any information about the distribution of colors among the numbered balls. In my opinion, the probability can be calculated by identifying the possible types of color assignments that the balls can have, and considering every possible assignment, calculate the conditional probability of getting a red even ball, and sum that up for all possible assignments. I've written my approach in detail here.
If your answer is that I'm incorrect, I've another question:
Lets say there are 10 balls, numbered 1 to 10, in jar A. Person P1 picks 2 balls from jar A and puts them in jar B. Person P2 picks 1 ball from jar B. What's the probability that the ball chosen by P2 is ball no. 5?
Will the probability be different if person P1 knows that the 2 balls he picked didn't have the ball no.5 at all?
According to me, it matters as to who is computing the probability, and what information he has while doing that. If P1 already knows there wasn't ball no. 5 at all, according to him P2 has zero chances of picking up ball no. 5. But if P2 doesn't have any idea of what P1 picked, he is going to assume that he has some non zero chance of picking ball no. 5, and he can compute that chance.
Isn't this case similar to the above question? where P2 computes his chances of getting ball no. 5 by calculating the possible distribution of numbers among the 2 balls that are there in jar B and calculating his chances from there on.