The class will cover the understanding the properties of single test results and how they may be compared. There are many problems that arise from a misunderstanding of the properties of single data sets and the problems are compounded when data sets are compared. The discussion will cover the misconceptions and present methods to allow proper comparisons, while considering the risks inherent in decisions based on analytical data.