Question #45524

One half percent of the population has a particular disease. A test is developed for the disease. The test gives a false positive 3% of the time and a false negative 2% of the time. (a). What is the probability that Joe (a random person) tests positive? (b). Joe just got the bad news that the test came back positive; what is the probability that Joe has the disease?
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Expert's answer

2014-09-05T13:30:57-0400

Answer Question #45524 – Math - Statistics and Probability

One half percent of the population has a particular disease. A test is developed for the disease. The test gives a false positive 3% of the time and a false negative 2% of the time.

(a). What is the probability that Joe (a random person) tests positive?

(b). Joe just got the bad news that the test came back positive; what is the probability that Joe has the disease?

Solution

Let DD be the event that Joe has the disease. Let TT be the event that Joe's test comes back positive. We are told that P(D)=0.005P(D) = 0.005, since 12%\frac{1}{2}\% of the population has the disease, and Joe is just an average guy. We are also told that P(TD)=0.98P(T|D) = 0.98, since 2%2\% of the time a person having the disease is missed ("false negative"). We are told that P(TDc)=0.03P(T|D^c) = 0.03, since there are 3%3\% false positives.

(a). We want to compute P(T)P(T). We do so by conditioning on whether or not Joe has the disease:


P(T)=P(TD)P(D)+P(TDc)P(Dc)=(0.98)(0.005)+(0.03)(0.995)=0.035.P(T) = P(T|D)P(D) + P(T|D^c)P(D^c) = (0.98)(0.005) + (0.03)(0.995) = 0.035.


(b). We want to compute


P(DT)=P(DT)P(T)=P(TD)P(D)P(TD)P(D)+P(TDc)P(Dc)=(0.98)(0.005)(0.98)(0.005)+(0.03)(0.995)=0.14.P(D|T) = \frac{P(D \cap T)}{P(T)} = \frac{P(T|D)P(D)}{P(T|D)P(D) + P(T|D^c)P(D^c)} = \frac{(0.98)(0.005)}{(0.98)(0.005) + (0.03)(0.995)} = 0.14.


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