Case Studies and White Papers
Talk by Pat Whitcomb and Mark Anderson that was presented at the 50th Annual Quality Congress.
A Balancing Act: Optimizing a Product's Properties
G.C. Derringer provides an easy-to-read explanation of the commonly used optimization function called desirability. When used as the final step in DOE, this function allows simultaneous optimization of multiple responses, resulting in the discovery of a group of optimal factor settings.
Applying DOE to Microwave Popcorn
Design of experiments identifies which factors matter and which ones don't when microwaving popcorn, as well as helping find optimal settings.
Analyzing Two-Level Factorials Having Missing Data
This presentation details and demonstrates a procedure that, despite missing data, allows the use of user-friendly, normal-probability plots for two-level-factorial effect selection.
A look at augmenting the usual probability plot effects with points representing pure error.
A Simple Comparative Experiment with Paper Clips
Details and demonstrates a fun experiment to do at home or in class to build understanding of variation and how it can be handled with simple comparative designs. For teaching purposes it works best if each student breaks two brands of clips, thus providing data for a paired t-test, which blocks out variability due to the tester.
An updated version of paper-clip experiment is provided in the June 2009 Stat-Teaser posted at https://cdnm.statease.com/news/news0906.pdf.