**On-line information on Design of
Experiments and Analysis of Data**

**Links in this color only available on the
Clarkson University campus**

**Excellent PowerPoint
presentation on statistical thinking in industry using DOE**

Utility of DoE in Chemistry and Chemical Engineering

·
__Statistics:__

- Free on-line pre-DoE course: Basic Statistics for Experimenters
- Probability and Statistics EBook from UCLA’s Statistics Online Computational Resource
- STEPS:
__ST__atistical__E__ducation through__P__roblem__S__olving (for biology, business, geography, psychology):

- Java Applets for
many different distributions
- Java Applets
*to illustrate statistics concepts* - Java Applets for power and sample size ; Explanations and
instructions

·
__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.)

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

· ”Design and Analysis of Experiments” (8th Edition) by D.C. Montgomery, Wiley (2013)

·
“Statistics at Square One,”
10^{th} edition, T.D.V. Swinscow and M.J.
Campbell, BMJ Books (2002). Introductory
book primarily for medical statistics.

· 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.

· Experiment Design and Analysis

·
** Software**:

· Eureqa Formulize: http://formulize.nutonian.com/ (Searches for equations giving the best fit to data, while you watch!)

· On-line fitting of 2D and 3D data (You pick the equation and it finds the constants giving the best fit.)

· Gnumeric (free open-source substitute for Excel, for data analysis)

· Design Expert from StatEase (design and analysis of factorial, RSM and mixture experiments)

· Minitab (design and analysis of factorial, RSM and mixture experiments; data mining)

· JMP from SAS (design and analysis of factorial and RSM experiments; data mining)

· Unscrambler from Camo (design of experiments and analysis of data)

· Statistica from StatSoft (data analysis and mining)

· IBM SPSS (data analysis and mining)

· Spotfire from TIBCO (data analysis and mining)

· NCSS (power and sample size analysis; data analysis)

·
__Free information and advice from StatEase__

·
**Articles and case studies**** For example:**

· Excellent introduction: Optimize Your Process-Optimization Efforts”: (published in Chemical Engineering Progress, December 1996, p 51)

· Keys to successful experiment design

· Power

· Interpretation of one-factor ANOVA

· Excellent: “Find the Optimal Formulation with Mixtures”: (published in Chemical Engineering Progress, April 1998, p 63)

· Interpreting power in mixture designs

· Recognizing and dealing with outliers

·
**AND MANY
MORE**

·
**Newsletters: **

· Leverage

· Blocked factorial design example

· Blocked mixture design example

·
__FAQs__

·
**Blogs**

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

·
** Six sigma: **http://www.isixsigma.com/tt/doe/ http://www.sixsigmain.it/Docs.html

·
**NIST/SEMATECH Engineering
Statistics Handbook**

·
__Power and sample size calculators__**: **(Do
this while planning the experiment, and not after when it’s too late.)

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

·
**Statistics Division of the
American Society for Quality Control**

·
__Data mining__**:**

·
“Discovering
Knowledge in Data: An Introduction to Data Mining,” Daniel T. Larose, Wiley
(2005). Many other E-books on data
mining available through libraries.

·
** Graphical display** of time-dependent (longitudinal)
data. Amazing graphical displays.

·
GDP/capita,
population, CO_{2} emission, agricultural production, child mortality,
HIV infection of countries: http://www.gapminder.org/

·
Housing
prices of states: __http://www.socr.ucla.edu/test.dir/GoogleMotionChart.html
__

·
__J____ournals:__

- Journal of Statistics Education
__Statistics Education Research Journal____Technology Innovations in Statistics Education____Journal of the American Statistical Association____The American Statistician____Journal of Computational and Graphical Statistics____Statistics Surveys____Institute of Mathematical Statistics journals____The Statistician__(1962-2003__)____Applied Statistics__(1952-2006); 1997 to present__Electronic Journal of Statistics__- Electronic Journal for
History of Probability and Statistics

*Last revised January 8, 2014 by W.R. Wilcox*

**Excel:**

**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**