This project aims to study the relationship between the number of order restrictions imposed on the parameters of a statistical model and the possible reduction in sample size. The goals are to (1) construct power tables for order constrained tests, and (2) providing user-friendly software so that testing order constrained hypotheses is easily accessible to applied users.