CORRECT: The positive predictive value is the true positives tests results divided by all positive test results. The negative predictive value is the true negative test results divided by all negative test results. Sensitivity is the true positive test results divided by all people with the disease. Specificity is the true negative test results divided by all people without disease. Accuracy is the sum of the true positives and the true negatives, divided by everyone undergoing the test. BE SURE TO KNOW HOW TO CALCULATE ALL OF THESE TERMS USING A 2 X 2 TABLE. [20% of test-takers agreed with the answer you gave]
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