Most of the classic design of experiments books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of MINITAB are detailed enough to provide effective guidance to a new MINITAB user, the book is still general enough to be very helpful to users of other DOE software packages. Even seasoned statisticians and DOE specialists will find the book useful as a reference.

The CD-ROM included with the book contains: Excel files with the data from the book's many example problems; descriptions of simple designed experiments that can be performed at home or in the classroom or lab; homework problems for each chapter; custom MINITAB macros for designing and analyzing experiments and performing other special functions; and a standard set of experiment design files with simulation macros in both MINITAB and Excel.

About the Author
Paul Mathews is a self-described physicist by education, engineer by experience, and statistician out of necessity. He holds a BS in physics from Miami University (1981) and an MS in physics from Case Western Reserve University (1985). He worked at General Electric Lighting (1981-1993) as an arc lamp and optical thin film designer, and he was an assistant professor at Lakeland Community College (1993-1998) where he was responsible for their Quality Engineering Technology program. Since 1998, he has provided quality engineering and applied statistical training and consulting services for R&D, product, process, and manufacturing engineering organizations through his company, Mathews, Malnar, and Bailey, Inc. Mathews is an ASQ Certified Quality Engineer and Certified Six Sigma Black Belt, and holds ten patents. In 2002, he won the Technical Educator Award from Cleveland Technical Societies Council, and in 2003 he received a GE Corporate Recognition award for his service in their advanced course in Engineering.

Table of Contents

• Graphical Presentation of Data
• Descriptive Statistics
• Inferential Statistics
• DOE Language and Concepts
• Experiments for One-Way Classifications
• Experiments for Multi-Way Classifications
• Advanced ANOVA Topics
• Linear Regression
• Two-Level Factorial Experiments
• Fractional Factorial Experiments
• Response-Surface Experiments