Statistics Worksheet With Answers - Stat 200 Page 6

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5. No diagnostic tests are infallible, so imagine that the probability is 0.95 that a certain test will diagnose a
diabetic correctly as being diabetic, and it is 0.05 that it will diagnose a person who is not diabetic as
being diabetic. It is known that roughly 10% if the population is diabetic.
What is the probability that a person diagnosed as being diabetic actually is diabetic?
Hint: This is a use Bayes’ theorem problem, which we did not cover in the lectures. There is another
way to handle this problem – mack a mock 2 by 2 table of the data based on the information you already
know. Once the table is complete, you can solve for the conditional probability. Since some of the
probabilities are small, I would sugget you make a table that is based on 100,000 people. I have started
the table for you.
Test Results
Diabetes Status
Diabetic
Not Diabetic
Diabetic
9500
500
10,000
Not Diabetic
4500
85500
90,000
14000
86000
100,000
This is a conditional probability.
Given you are diagnosed as being diabetic, what is the probability that you actually are diabetic?
P(D|Test says D) = 9500/14,000 = .6786
 
 
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