Design of Experiments is a way to intelligently form decision frameworks on how to improve a process. This is done by determine what factors into a process.
Design of Experiments Terminology can be daunting! Here’s an easy glossary to reference when working with these types of questions.
Factorial Design Overview covers one of the key issues in designing an experiment: identifying as many influences on the results as possible.
In most experiments, you’ll have a number of factors to deal with. These are elements that affect the outcomes of your experiment. They fall into a few basic categories:
Choose Partial/Fractional Factorial Designs when full factorial design experiments are too time and/or cost-prohibitive.