A major difficulty in predictions of school enrollments is the failure of the forecaster to express adequately his degree of certainty in his estimates. To alleviate this problem, a method was developed by which a forecaster could prepare probability distributions of enrollment predictions. A basic method of enrollment prediction was chosen and modified to accommodate probabilistic input and output. The method required separate estimates for such variables as migration, retention, and transfer; and it was modified to require three estimates (high, low, and most likely) for each variable. A Monte Carlo computer simulation program was written to combine these various estimates into probability distributions of enrollment prediction. (Appendix A, pages 150-161, may reproduce poorly.) (Author/RA)