Let E and F be events with P(E) = .3, P(F) = .6, and P(E ∪ F) = .7. Find
(a) P(E ∩ F) (b) P(E|F) (c) P(F|E) (d) P(E^c ∩ F) (e) P(E^c|F)
COMMENT: for (a) I got .2 since P(E ∪ F)= P(E) + P(F) - P(E ∩ F). so .3 plus .6 equals .9, and .9-.7=.2.
(b) P(E|F)= P(E ∩ F)/P(F), so .2/.4=.5
For the rest I am sorta confused.
Clearly (c) and (e) are solved similarly to (b).
Now (d) is solved through the Law of Total Probability. For any two events $X,Y$, it will be that: $$\mathsf P(X)=\mathsf P(X\cap Y)+\mathsf P(X\cap Y^\complement)$$