Dr. Paul K. Andersen is an Associate Professor of Chemical and Materials Engineering at New Mexico State University. His teaching and research interests include applied statistics, materials engineering, physicochemical hydrodynamics, and nuclear chemical engineering. He is a co-principal in Data Forward Analytics. Paul earned his doctorate from the University of California-Berkley and also holds a BS in Chemical Engineering from Brigham Young University.
We use experiments to understand how to make new or better products or processes. Experiments cost time and money. However, by using some simple statistical tools to design and analyze our experiments, we can minimize the costs while maximizing the useful information we gain.