CHE 225Design of Experiments for Process Improvement

A course in practical statistics at a level one step beyond a typical introductory course. Material includes regression analysis for linear and nonlinear models, analysis of variance, statistical inference, single and multiple comparisons, blocking (variance reduction techniques) and design of experiments including single factor designs, multifactor designs, fractional factorials and screening designs, and an introduction to response surface methods. Applications to process improvement, product development, and research problems will be explored. Use of statistical analysis software to apply these techniques throughout the course.