ABSTRACT

The following question was once asked of 60 staff and students at the Harvard Medical School: “If a test to detect a disease whose prevalence is 11000 has a false positive rate of 5%, what is the chance that a person found to have a positive result actually has the disease, assuming you know nothing about the person’s symptoms or signs?”1