2 in every 1000 people in a city have a certain medical condition. If a person with the condition is tested for the condition, the probability that the result is incorrect is 0.03. If a person without the condition is tested, the probability that the result is incorrect is 0.02.
Suppose a person is arbitrarily tested for the condition and the result was positive, that is, the result indicates that the person has the condition whether the person actually has the condition. Let C be the event that a person has the condition and P be the event of a positive test result. Complete the values X, Y, and Z in Bayes' Theorem to determine the probability that a person with a positive test result actually has the condition.