Abstract
We prove theorems that delineate the upper and lower outlier boundaries for an arbitrary distribution of real numbers as twice the means of the positive and negative sets derived from the distribution, respectively. The essence of the work is based on a theorem on categories. The derived method of detecting outlier boundaries is independent of data sampling.