Possible Duplicate:
Conditional probability of cows
1) You live on a farm and have six cows: two of them are black, three are white and one is black and white (that is, black on one side and white on the other). If you look outside the window and see two black cows, what's the probability that one of them is your black and white cow?
Attempt:
P(black and white cow| you see 2 black cows) = P(black and white cow| one is completely black and you see 2 black cows) P(one is completely black | you see 2 black cows) + P(black and white cow| one is not completely black and you see 2 black cows) P(one is not completely black| you see 2 black cows).
I got the above by simply using the rule: P(E|F) = P(E|GF)P(G|F) + P(E|$G^c$F)P($G^c$|F). I get the correct answer using this method, but I asked my professor today and he said I can't do this because one of my events are not disjoint. I thought intially I had made an error, but when I look back over it, I am only introducing one another event: G, and then I only subsequently work with the complement of G. Am I correct?
2) Not in relation to the question above, but when I have a joint probability density $f(x,y)$ and I want to determine if $X$ and $Y$ are independent, is to okay to say they are independent provided I can write $f(x,y) = f_X(x) f_Y(y)$ and that the limits of $x, y$ do not depend on each other?