This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
This Website Uses Cookies By closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
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.