A blood test indicates the presence of a particular disease 95% of the time when the disease is actually present. The same test indicates the presence of the disease 0.5% of the time when the disease is not present. One percent of the population actually has the disease. Calculate the probability that a person has the disease given that the test indicates the presence of the disease.
Y = positive test result
D = disease is present (and ~D = not D)
Using Baye’s theorem:
"P(D|Y) = \\frac{P(Y|D)P(D)}{P(Y|D)P(D)+P(Y|~D)P(~D)} \\\\\n\n= \\frac{0.95 \\times 0.01}{(0.95 \\times 0.01)+(0.005\\times 0.99)} \\\\\n\n= 0.657"
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