Probability that Kevin has diabetes = 0.75, probability that test correctly sees this = 0.85, probability of both = 0.75*0.85 = 0.6375. Probability that test doesn't see Kevin's diabetes = 0.75*0.15 = 0.1125 Probability that Kevin doesn't have diabetes = 0.25, probability that test correctly sees this = 0.85, probability of both = 0.25*0.85 = 0.2125 Probability that test mistakenly thinks Kevin has diabetes = 0.25*0.15 = 0.0375 In summary: 0.0375 - 4th choice0.6375 - 1st choice 0.1125 - 2nd choice 0.2125 - 3rd choice
