Design of Experiments - An Overview of Full and Fractional Factorial Designs Using Minitab

Whether developing new processes, seeking process improvements, or performing root cause analysis to investigate a problem, identifying a predictable cause-and-effect relationship is essential to the quality professional. While correlation from the review of historical data and observational studies may provide insights to potential relationships, causation cannot be claimed without proper experimentation. A properly designed experiment not only provides a reliable predictor model, but it will also often be the most efficient and effective approach.

Join us as we introduce key concepts of designed experiments and walk through setting up and analyzing Full and Fractional Factorial experiments.