Passage: Kevin’s family has a history of diabetes. The probability that Kevin would inherit this disease is 0.75. Kevin decides to take a test to check if he has the disease. The accuracy of this test is 0.85. Question: We now know that the test predicted that Kevin does not have the disease. Using this information, calculate the probability that Kevin does not have diabetes after the test was taken.
A) 0.0925 B) 0.3565 C) 0.4827 D) 0.6538 E) 0.8765
start buying a coffin XD
This seems like a problem for Baye's Theorem. Im betting that's something you've discussed recently?
another name for it would be conditional probability. If you reword the question slightly, it might sound more familiar to other questions you've done. "What is the probability that Kevin does not have diabetes, GIVEN the test was negative"
C medal please
The answer is not C.
what is it
hello
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