Final answer:
a. P(A∪C) = 0.53, b. P(B∩C) ≈ 0.2546, c. P(A∩B) ≈ 0.123, d. P(A∪B) ≈ 0.697
Step-by-step explanation:
a. To compute P(A∪C), we can apply the formula:
P(A∪C) = P(A) + P(C) - P(A∩C)
Given that P(A) = 0.15, P(C) = 0.38, and P(A∩C) = 0, we can substitute these values into the formula:
P(A∪C) = 0.15 + 0.38 - 0
P(A∪C) = 0.53
b. To compute P(B∩C), we can use the fact that B and C are independent. The formula for the intersection of two independent events is:
P(B∩C) = P(B) × P(C)
Given that P(B) = 0.67 and P(C) = 0.38, we can substitute these values into the formula:
P(B∩C) = 0.67 × 0.38
P(B∩C) ≈ 0.2546
c. To compute P(A∩B), we can use the formula for conditional probability:
P(A∩B) = P(A) × P(B∣A)
Given that P(A) = 0.15 and P(B∣A) = 0.82, we can substitute these values into the formula:
P(A∩B) = 0.15 × 0.82
P(A∩B) ≈ 0.123
d. To compute P(A∪B), we can apply the formula:
P(A∪B) = P(A) + P(B) - P(A∩B)
Given that P(A) = 0.15, P(B) = 0.67, and P(A∩B) ≈ 0.123 (computed in part c), we can substitute these values into the formula:
P(A∪B) = 0.15 + 0.67 - 0.123
P(A∪B) ≈ 0.697