(a) To find the probability that a randomly selected adult who visited a therapist during the past year also used antidepressants, we use the formula:
P(A|B) = P(A and B) / P(B)
where A is the event that an adult used antidepressants, and B is the event that an adult visited a therapist. We are given:
P(A) = 0.43
P(B) = 0.27
P(A and B) = 0.20
Plugging these values into the formula, we get:
P(A|B) = 0.20 / 0.27 ≈ 0.74
Therefore, the probability that a randomly selected adult who visited a therapist during the past year also used antidepressants is approximately 0.74.
(b) To find the probability that an adult visited a therapist during the past year, given that he or she used antidepressants, we use Bayes' theorem:
P(B|A) = P(A|B) * P(B) / P(A)
where A and B are defined as before. We have already calculated P(A|B) and P(B), and we know:
P(A) = 0.43
Plugging these values into Bayes' theorem, we get:
P(B|A) = (0.74 * 0.27) / 0.43 ≈ 0.47
Therefore, the probability that an adult visited a therapist during the past year, given that he or she used antidepressants, is approximately 0.47.