A medical consultant devises a test to diagnose the presence or absence of a particular disease in children. After many years the test proves itself to be 90% accurate. In other words, on 10% of tests done on children who do actually have the disease, the test will erroneously indicate that they do not have it. These 10% of tests are known as ‘false negatives’. Similarly, on 10% of tests done on children who do not actually have the disease, the test indicates incorrectly that they do have it. These 10% of tests are known as ‘false positives’. The hospital serving a small town tests 1000 children for the presence of the disease. The table below provides the results as expected in terms of the test’s 90% accuracy level.