In a population presenting for testing at a certain clinic, 10% of patients will later develop Alzheimer’s disease. The clinic applies two tests: Test 1 identifies 14% of participants as likely to develop Alzheimer’s, whereas Test 2 identifies 20% of participants. Both tests are imperfect, and make both false positive and false negative identifications.

Given that Test 2 produces twice as many false positives as Test 1, but half as many false negatives, find the false positive and false negative rates for both tests.

Hi for the question above, I believe I have to use bayes thereom but I dont understand how I am to determine either of the false and true positivity/negatives without the test accuracies


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