Statistics for Six Sigma Green Belts with Minitab and JMP

Introduction

Design of Experiments (DoE) is a collection of statistical methods for studying the relationships between independent variables, the Xs or CTPs, and their interactions (also called factors, input variables, or process variables) on a dependent variable, the Y (or CTQ). Additionally, you can use design of experiments to minimize the effects of background variables on understanding the relationships between the CTPs or X(s) and CTQ or Y. A background variable (also called noise variable or lurking variable) is a variable that can potentially affect the dependent variable (Y or CTQ) in an experiment, but is not of interest as an independent variable (CTP or X).

The concepts of experimental design discussed in this chapter represent ...