A test for diabetes classifies 99% of people with the disease as diabetic and 10% of...

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A test for diabetes classifies 99% of people with the disease asdiabetic and 10% of those who don't have the disease as diabetic.It is known that 12% of the population is diabetic.

a) what are the false positive and false negative rates?

b) what is the probability that someone classified as diabeticdoes in fact have the disease?

i) solve the problem by drawing up a contingency table and

ii) solve the problem using conditional probability and the lawof total probability

Answer & Explanation Solved by verified expert
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A test for diabetes classifies 99 of people with the disease asdiabetic and 10 of those who dont have the disease as diabeticIt is known that 12 of the population is diabeticPPositive Disease 99PNegative Disease 1 99 1 usingPAB 1 PA BPPositive No Disease 10Pnegative No Disease 1 10 90PDisease 12Therefore    See Answer
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