We know that,
P (A ∪ B)=P(A) + P(B) – P(A ∩ B)
P(not B) =1 – P(B) =1 – 0.65 = 0.35
Given that A and B are independent events,

Therefore,
P (A ∪ B) = P(A) + P(B) – P(A ∩ B)
= P(A) + P(B) – [P(A)*P(B)]
P (A ∪ B) = P(A)[1 – P(B)] + P(B)
0.85 = P(A)*0.65 + 0.35
P(A)*0.65 = 0.50
P(A) = \(\cfrac{0.5}{0.65} = 0.77\)