On-line information on design of experiments

Links in this color only available on the Clarkson University campus

· Statistics:

• STEPS: STatistical Education through Problem Solving (for biology, business, geography, psychology):

· Outstanding glossary

· Hypothesis testing

· Design of experiments

• Books and courses:

· Excellent introductory statistics course From UC Berkeley, with many interactive examples, Java Applets, and a glossary. Works best with Firefox. (Recommend skipping probability chapters, 7 – 15.) Many examples of hypothesis testing.

· Textbook with glossary. Tables for normal, Student’s t, chi-square and F distributions. Equations for these and many more distributions.

· NIST/SEMATECH Engineering Statistics Handbook

· “Statistical Design and Analysis of Experiments - With Applications to Engineering and Science,” 2nd Edition, Mason, Robert L.; Gunst, Richard F.; Hess, James L. (2003, John Wiley & Sons) Also available here and here.

• Java Applets for power and sample size ; Explanations and instructions

• Eight common statistical traps
• Hypotheses:

· Glossary

· Many examples

· Examples with known s² (variance)

· StatEase articles and case studies:

• Excellent introduction: Optimize Your Process-Optimization Efforts”: (published in Chem. Engin. Prog., December 1996, p 51)
• Keys to successful experiment design
• Strategy of experimentation
• Power
• Rethink experiment design
• One-factor ANOVA
• Space Shuttle Debris Impact Tool Assessment Using the Modern Design of Experiments
• DoE for spin coating
• Excellent: “Find the Optimal Formulation with Mixtures”: (published in Chem. Engin. Prog., April 1998, p 63)
• Interpreting power in mixture designs
• Adhesive Optimization
• Cake optimization
• Fermentation robustness
• AND MANY MORE

· StatEase newsletters:

• Popcorn factorial screening example
• Leverage
• Blocked factorial design example
• Blocked mixture design example

· StatEase FAQs & blogs:

• Leverage ; More on leverage

· StatEase Webinars (PowerPoint slides of previous webinars, and announcements of future webinars)

• Response Surface Optimization
• 10 Ways to Mess Up an Experiment & 8 Ways to Clean It Up
• Sizing Mixture (RSM) Designs for Adequate Precision via Fraction of Design Space
• A Factorial Design Planning Process

· DX7 tutorials:

• On-line 2-level design using DX7.1:

· Links: http://www.strategy4doe.com/

· Links: http://www.isixsigma.com/tt/doe/

· Links: http://www.sixsigmain.it/Docs.html

· NIST/SEMATECH Engineering Statistics Handbook:

• Introduction to Design of Experiments
• Blocking of 2-Level Full Factorial Designs:

· Mixture experiment example (optimal Harvey Wallbanger recipe) The American Statistician (Vol. 41, No. 3, Aug. 1987, pp. 190-194): Another link

· Power information and sample size calculators: (Do this while planning the experiment, and not after doing the experiment.)

• Power
• “Some Practical Guidelines for Effective Sample Size Determination,” Russell V. Lenth, The American Statistician, Vol. 55, No. 3. (Aug. 2001), pp. 187-193. (SampleSize.pdf on Blackboard). Java applets for power and sample size
• Power analysis for ANOVA designs
• Clinical trials
• Interpreting power in mixture designs:
• Fallacy of power calculations; also here

· Statistics Division of the American Society for Quality Control

· PowerPoint presentation on statistical thinking with DOE

Last revised April 1, 2008 by W.R. Wilcox

Wilcox home page

Course in Design of Experiments and Analysis of Data

Excel:

Excel tutorials and exercises

Relationships between mathematical and Excel expressions

How to enter Greek letters, symbols, superscripts and subscripts into Excel

MATLAB:

Relationships between mathematical and MATLAB expressions

Tutorial on symbolic methods for calculus, graphing, and solution of equations

Tutorials on analysis and plotting of data

Tutorial on numerical solution of equations

Power Point: Advice on preparation of professional presentations

Clarkson University's Department of Chemical and Biomolecular Engineering