In: Statistics and Probability
Health experts’ estimate for the sensitivity of coronavirus tests, as they are actually used, is 0.7. They also think the specificity is very high. Suppose specificity is 0.99 and that the health experts’ estimated sensitivity is correct (0.7).
a. In a population where 20% of the population is infected with the coronavirus, what is the probability that a person who tests positive actually is infected?
b. Continued. What is the probability that a person who tests negative actually is not infected?
c. If the prevalence of infection in the tested population is 0.8 (in other words, if 80% of people tested have the infection), what is the probability that a person who tests positive actually is infected?
d. Continued. What is the probability that a person who tests negative actually is not infected?