Answer:
A) of the positive tests the probability of obtaining a false positive result = 39800/44600 = 0.89
B) Probability of a false negative result, when the result is negative = 200/955400 = 0.00021
C) If the child is sick, the probability that the test will be positive = 4800/5000 = 0.96
D) Probability of a positive result of the total = 44600/1000000 = 0.0446.
Explanation:
Total study population = 1,000,000.
0.5% of patients are sick
So the total sick population = 1,000,000 * 0.5 / 100 = 5,000.
So, in total 5000 patients are sick
If the test is 96% accurate, with sick people and a positive test result = 0.96 * 5000 = 4800.
So the number of patients who are sick with a negative result = 5000-4800 = 200.
Number of healthy people = 1000000-5000 = 995000
Number of healthy people and that the test is negative =
0.96 * 995000 = 955200
Total number of healthy people but with false positive results false positives =
995000 - 955200 = 39800..