5. Process Improvement 5.3. Choosing an experimental design
Contents of Section 3	This section describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail.
Note that this section describes the basic designs used for most engineering and scientific applications	Set objectives Select process variables and levels Select experimental design Completely randomized designs Randomized block designs Latin squares Graeco-Latin squares Hyper-Graeco-Latin squares Full factorial designs Two-level full factorial designs Full factorial example Blocking of full factorial designs Fractional factorial designs A 23-1 half-fraction design How to construct a 23-1  design Confounding Design resolution Use of fractional factorial designs Screening designs Fractional factorial designs summary tables Plackett-Burman designs Response surface (second-order) designs Central composite designs Box-Behnken designs Response surface design comparisons Blocking a response surface design Adding center points Improving fractional design resolution Mirror-image foldover designs Alternative foldover designs Three-level full factorial designs Three-level, mixed level and fractional factorial designs