Answer:
\(P(A | B) = P(A \cap B) / P(B)\) and \(P(B | A) = P(B \cap A) / P(A)\)
we can rewrite the equality in the question to be:
thus we can divide the \(P(A \cap B)\) on both sides to get
of \(P(A \cup B)\) that is the probability of either of the two events A and B happening
is:
\(P(A \cup B) = P(A) + P(B) - P(A \cap B)\)
We can solve for P(B) to get
\(P(A \cup B) + P(A \cap B) - P(A) = P(B)\) and plug it into b. to get
\(P(A) = P(A \cup B) + P(A \cap B) - P(A)\)
Adding \(P(A)\) on both sides gives
\(2P(A) = P(A \cup B) + P(A \cap B)\)
Dividing on both sides by 2 gives
\(P(A) = P(A \cup B)/2 + P(A \cap B)/2\)
\(P(A \cup B) = 1\) as per the information given so
\(P(A) = 1/2 + P(A \cap B)/2\)
Finally note that the second operand \(P(A \cap B)/2\) will always be within (0,1]
so \(P(A) \gt 1/2\)