Can somebody explain to me, using an example, what those 2 theorems actually are? Like, when I see a problem, how do I know what I'm gonna use? I know Total Probability is "unconditional Probability", but I don't really get that. The other definition of conditional probability was P(E I F)= P(E[itex]\bigcap[/itex]F)/P(F). Can't figure out what the difference is, when I use which one..etc.