If events A and B are independent, the correct conditions are:
- P(B|A) = P(B)
- P(A ∩ B) = P(A) * P(B) = x * y.
These reflect that the probability of B given A is equal to the probability of B, and the probability of the intersection of A and B is the product of their individual probabilities.
Option D and C is correct.
If events A and B are independent, it means that the occurrence or non-occurrence of one event does not affect the probability of the other event. In mathematical terms, for independent events A and B:
P(A ∩ B) = P(A) * P(B)
This formula defines the probability of the intersection of events A and B (the occurrence of both events).
Now, let's analyze the provided options:
a. P(B|A) = P(B) = y
This is incorrect because the probability of B given A is not necessarily equal to the probability of B.
b. P(A|B) = P(A) = x
This is incorrect for the same reason as option (a). The probability of A given B is not necessarily equal to the probability of A.
c. P(B|A) = P(B) = y
This is correct. For independent events, the probability of B given A is equal to the probability of B.
d. P(A ∩ B) = P(A) * P(B) = x * y
This is correct. The probability of the intersection of A and B is the product of their individual probabilities.
e. P(A ∩ B) = x/y
This is incorrect. The correct expression for P(A ∩ B) is x * y.
In conclusion, the correct conditions for independent events A and B are options (c) and (d).