If P (A) = 0.8, P (B) = 0.5 and P (B|A) = 0.4, find
(i) P(A ∩ B) (ii) P(A|B) (iii) P(A ∪ B)
Given: P(A) = 0.8, P(B) = 0.5 and P(B|A) = 0.4
(i) We know that
By definition of conditional probability,
⇒ P(A ∩ B) = P(B|A) P(A)
⇒ P(A ∩ B) = 0.4 × 0.8
⇒ P(A ∩ B) = 0.32
(ii) We know that
By definition of conditional probability,
⇒ P(A|B) = 0.64
(iii) Now, ∵ P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
⇒ P(A ∪ B) = 0.8 + 0.5 – 0.32 = 1.3 – 0.32
⇒ P(A ∪ B) = 0.98