The two events E and F have probabilities of $P(E) = P(F) = 0.5$ and they are dependent since $P(E| \lnot F) = 0.6$. What's $P(E|F)$?
I know Bayes theorem, it's just that I don't exactly know what $P(E \cap F)$ is.
And with relation to that, I have another question:
Considering we know $P(E|\lnot F)$, what other $P$'s can we extract from that?
I'm sorry this is an easy question, but it's mainly just to get me started.