In a certain town, there are two hospitals, Hospital A and Hospital B, which serve the population. It is known that 60% of the population visits Hospital A, 40% visits Hospital B, and 20% visits both hospitals. Suppose a person is selected at random from the population. What is the probability that this person visits Hospital A, given that they have visited Hospital B?
0.2
0.5
0.7
0.8
We can use Bayes' theorem to solve this problem.
Let A be the event that a person visits Hospital A, and B be the event that a person visits Hospital B.
We want to find the probability of A given that B has occurred, which is written as P(A|B).
We know that 20% of the population visits both hospitals, so the probability of visiting both hospitals is:
P(A and B) = 0.2
We also know that 60% of the population visits Hospital A, so the probability of visiting Hospital A is:
P(A) = 0.6
Now, we know that 40% of the population visits Hospital B, so the probability of visiting Hospital B is:
P(B) = 0.4
Finally, we want to find the probability of visiting Hospital A given that the person has visited Hospital B, which is P(A|B).
Using Bayes' theorem, we can write:
We need to find P(B|A), the probability that the person visits Hospital B, given that they have visited Hospital A. We can use the formula for conditional probability:
Substituting the given values, we get:
Finally, we can substitute these values into Bayes' theorem to find P(A|B):
Therefore, the probability that a person visits Hospital A, given that they have visited Hospital B, is 0.5.
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