4-Hr Virtual Training: Introduction to Design of Experiments

In this training program, attendees will understand when and why to apply DOE (design of experiments). They will also learn to identify and interpret significant factor effects and 2-factor interactions and develop predictive models to explain and optimize process/product behavior. Applying efficient fractional factorial designs in screening experiments will also be discussed.

Why Should You Attend:

Participants will gain a solid understanding of important concepts and methods in statistical experiments. Successful experiments allow the development of predictive models for the optimization of product designs or manufacturing processes. Several practical examples and case studies will be presented to illustrate the application of technical concepts. This webinar will prepare attendees to begin designing and conducting experiments. Attendees will also learn how to analyze the data from experiments to understand significant effects and develop predictive models utilized to optimize process behavior.