Making knowledge delivery failsafe: Adding step zero in hypothesis testing

Abstract

Knowledge of statistical analysis is increasingly important for professionals in modern business. For example, hypothesis testing is one of the critical topics for quality managers and team workers in Six Sigma training programs. Delivering the knowledge of hypothesis testing effectively can be an important step for the incapable learners or trainees to improve their learning process. The authors propose a failsafe measure for this knowledge delivery process by adding a direct statement before the conventional procedures of hypothesis testing. The authors tested the effectiveness of this measure statistically. The results showed that the proposed approach could help learners and trainees to select the correct hypotheses and reach the right conclusion in hypothesis testing of applications’ problems.