Based on the data,

1. What percent of positive test results will be false positives?

2. Based on a prevalence of 5%, how many of those tested are actually infected (according to the gold standard)? How many aren't?

Test result (99% sensitivity and 99% specificity)	People truly with disease	People truly without disease	Totals
Positive	4950 (A)	950 (B)	5900
Negative	50 (C)	94,050 (D)	94,100
Total	5000	95,000	100,000

Predictive value of a positive test: A/A+B=83.8%.

Predictive value of a negative test: D/D+C=99.9%.