Answer:
(a) No, we can't compute P(A and B) because we don't know the A and B are independent or not. Also If it not independent we don't know the value of P(A or B)
(b) (i) If A and B are independent then,
P(A and B) = P(A) × P(B)
⇒ P(A and B) = 0.3 × 0.7 = 0.21
(ii) By, Additional theorem of Probability,
P(A or B) = P(A) + P(B) - P(A and B)
⇒ P(A or B) = 0.3 + 0.7 - 0.21 = 0.79
(iii) P(A|B) = P(A) = 0.3
(c) For the events to be independent, it should follow:
P( A and B) = P(A) × P(B)
0.1 = 0.3 × 0.7
⇒ 0.1 ≠ 0.21
Thus, A and B are not independent event.
(d) By the Conditional Probability definition, we know that,
[tex]P(A|B)=\frac{P(A and B)}{P(B)} = \frac{0.1}{0.7} = 0.143[/tex]