This app is used to calculate the false positive rate of a test, and to find out the optimal number of tests to perform in order to have a reasonable level of accuracy. It is based on the Tested Positive, Tested Negative model.

This is a very important aspect of the diagnosis of a disease. If the test has a very high rate of false positives, it means that a lot of people will be diagnosed as having the disease when they actually do not. This will lead to an over-diagnosis of the disease and an over-treatment of the patients.