Answer:
90.35% probability that a test result will be negative
Explanation:
We have these following probabilities:
0.05 = 5% probability that an individual adult has the disease.
If the adult has the disease, 1 - 0.98 = 0.02 = 2% probability of a negative test.
1 - 0.05 = 0.95 = 95% probability that an individual adult does not have the disease.
If the adult does not have the disease, 1 - 0.05 = 0.95 = 95% probability of a negative test.
What is the probability that a test result will be negative
2% of 5% or 95% of 95%. So
p = 0.02*0.05 + 0.95*0.95 = 0.9035
90.35% probability that a test result will be negative