Answer:
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
Step-by-step explanation:
please send images