An evaluation of statistical procedures designed to detect outliers resulting from a light degree of contamination in random samples of moderate size.

The literature on statistical outlier procedures applicable to the CAP Survey program is briefly reviewed. Limited Monte Carlo evaluations of selected procedures were performed. For a light degree of contamination in random samples of moderate size, it is shown that the application of these procedures has little effect on estimates of measures of central tendency and spread. Moreover, in this situation these procedures detect a very small percentage of the outliners.