Given P(Ec ) = 0.45, P(F) = 0.52, and P(EExam ImageF) = 0.16. Find P( E | Fc ). a) 0.8666 b) 0.3076 c) 0.5200 d) 0.8125 e) 0.7500 f) None of the above.
Can someone please tell me how im supposed to solve this?
What is exam image? is it union? or what?
I assume `Ec` means the complement of event E, so \(\mathbb P(E^C)=1-\mathbb P(E^C)\). From the definition of conditional probability, \[\mathbb P(E|F^C)=\frac{\mathbb P(E\cap F^C)}{\mathbb P(F^C)}\]Supposing "exam image" is an intersection, you can use the fact that \[\mathbb P(A\cap B)+\mathbb P(A\cap B^C)=\mathbb P(A)\]to write \[\mathbb P(E|F^C)=\frac{\mathbb P(E)-\mathbb P(E\cap F)}{\mathbb P(F^C)}\]Then, using the definition of the complement, you end up with \[\mathbb P(E|F^C)=\frac{1-\mathbb P(E^C)-\mathbb P(E\cap F)}{1-\mathbb P(F)}\] If "exam image" is an intersection, you can use the inclusion/exclusion principle which says that \[\mathbb P(A\cup B)=\mathbb P(A)+\mathbb P(B)-\mathbb P(A\cap B)\]then use this and complements where necessary to substitute the probabilities you're given.
Whoops, that last part should say "If 'exam image' is a union, ..."
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