A testing method that produces a result that reflects a true positive all of the time and reflects a false positive some of the time can be said to have

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Sensitivity is the percentage of individuals with the particular disease for which the test is used in whom positive test results are found. In this case, all True positives were detected - 100% sensitivity. These are also called True-positives. Tests with very high sensitivity (³99%) can, if negative, be used to exclude the presence of disease. In the example, the negative results can with confidence rule out the possibility of disease. On the other hand, specificity is the percentage of individuals who do not have the particular disease being tested and in whom negative test results are found. These are also called True-negatives. Tests with very high specificity (³99%) should be negative both in healthy individuals and in individuals with symptoms similar to that of the disease being tested but not caused by the same organism. In the example, False-positives were present, thus the method has lower specificity and cannot be used to diagnose based on a positive result alone, but it might be used as a screening procedure.

A Testing Method That Produces a Result That Reflects a True