Summer ½ Semester 2008

I&MSE 511: Design of Experiments


Materials: Required text:

Montgomery, Douglas C. 2005. Design and Analysis of Experiments, 6th edition. New York, New York: John Wiley & Sons, Incorporated.
Errata in 5th edition

Highly recommended general/business reference:

Hoerl, Roger, and Ronald D. Snee. 2002. Statistical Thinking: Improving Business Performance. Pacific Grove, California: Duxbury.

Recommended technical references:

Berger, Paul D., and Robert E. Maurer.  2002.  Experimental Design with Applications in Management, Engineering, and the Sciences.  Belmont, California:  Duxbury/Thomson Learning.

Garcia-Diaz, Alberto, and Don T. Phillips. 1995. Principles of Experimental Design and Analysis. London, United Kingdom: Chapman & Hall. (a "companion" to the required text)

Kuehl, Robert O. 2000. Design of Experiments: Statistical Principles of Research Design and Analysis, 2nd edition. Pacific Grove, California: Brooks/Cole.

Cobb, George W. 1998. Introduction to Design and Analysis of Experiments. New York, New York: Springer-Verlag New York, Incorporated.

Myers, Raymond H., and Douglas C. Montgomery.

 1995. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. New York, New York: John Wiley & Sons, Incorporated. (a high-powered extension of ideas in the textbook)

Schmidt, Stephen R., and Robert G. Launsby. 1992. Understanding Industrial Designed Experiments, 3rd edition. Colorado Springs, Colorado: Air Academy Press. (an encyclopedic handbook)

Launsby, Robert G., and Daniel L. Weese. 1993. Straight Talk on Designing Experiments. Colorado Springs, Colorado: Launsby Consulting. (another handbook, after one of the previous authors hung out his own shingle)

Hair, Joseph, Ronald Tatham, Ralph Anderson, and William Black. 2006. Multivariate Data Analysis, 6th edition. Englewood Cliffs, New Jersey: Prentice-Hall, Incorporated. (a superb text and reference explaining multivariate analysis of variance, plus affiliated methods such as factor analysis, cluster analysis, and discriminant analysis).

Additional bibliography here:

Course Outline:



Montgomery text



Chapter 1


Single-factor ANOVA

Chapter 3


Randomized block designs

Chapter 4, section 1


Latin Square designs

Chapter 4, section 2


Graeco-Latin square designs

Chapter 4, section 3


Balanced incomplete block designs

Chapter 4, section 4


2k factorial designs

Chapters 5, 6, and 7


2k fractional factorial designs

Chapter 8


Nested designs

Chapter 14, sections 1, 2, and 3


Split-plot designs

Chapter 14, sections 4 and 5


Central composite designs

Chapter 11, section 4, pages 428-430


Box-Behnken designs

Chapter 11, section 4, pages 430-431



Statement from the Office of the Provost on academic ethics.
The class runs under the honor code governing all College of Engineering classes. Each examination will have a closed-book portion followed by an open-book (and notes) portion. In the closed-book portion, you will write expository paragraphs on fundamental concepts. No closed-book question will require quotation or usage of a memorized formula. In the open-book portion, you will work problems similar to those assigned as homework and/or discussed in class. Either or both examinations may also have a "take-home" question which, unlike an in-class examination question, can presume access to statistical software.

Computer software availability:

Our changed classroom (Fairlane Center South 152) will have the latest version of Minitab®, version 15, for use, as will the laboratories in the building.  Minitab has a web site at

The data sets for homework problems to be assigned from the Montgomery textbook will be available on the VLT web site.

Availability of help:

Useful Web Sites: