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Finding conditional probability

  1. Oct 13, 2009 #1
    The problem statement, all variables and given/known data
    There are w white balls and b black balls in a bowl. Randomly select a ball from the bowl and then return it to the bowl along with n additional balls of the same color. Another single ball is randomly selected from the bowl(now containing w+b+n balls) and it is black. Show that the conditional probability that the first ball selected was white is w/(w+b+n)

    The attempt at a solution
    This is my last question of my assignment and I can't figure out even how to get the first step. The condition we know here is an event happened afterward, so I am even confused with that. I try to list the sample points which are A(1st-w, 2nd-w), B(1st-w, 2nd-b), C(1st-b, 2nd-b), D(1st-b, 2nd-w), and the possible sample points should be B or D. Then I try the conditional probability for B:

    Sample point B :

    Being the first selecting:
    P(w)=w/(w+b) P(b)=b/(w+b)

    By sample point B, it supports that the first selected ball is white, second is black, so using the equation:
    so, P(bnw)=[w/(w+b)]*[b/(w+n+b)]

    Here it already looks strange because B is just one of the sample points, but I still continue:


    I got the answer, but I think it is not a correct process because I was just putting something into an equation with no reason. However, when I tried other ways, it even went worse. So is there anyone can give me some ideas just like how I should start to prove and that will be great. Thanks a lot.
  2. jcsd
  3. Oct 15, 2009 #2
    It might help to label the events B1,B2,W1,W2 to avoid confusing them with the parameters w,b - so you're working in the event space {B1,W1}x{B2,W2} and want to calculate P[W1|B2]. It might also help to visualize it by drawing the event tree to work out P[B1nB2] etc before you apply Baye's theorem.
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