StatPad is a CD-ROM add-in that simplifies analysis when using Excel®. Statistical methods are organized for quick and easy access, and results are placed back into the worksheet together with an explanation of the results. In addition to making computation more accessible, this approach ensures that the students will still have convenient access to statistical methods after the course is over.   Many former students continue to use StatPad—and statistics—in their managerial work.

StatPad was developed by Skyline Technologies, Inc., with the assistance of Andrew F. Siegel. Through the use of familiar Windows® and Excel® style dialog boxes, with the results placed back into the spreadsheet, statistics operations essentially become part of the worksheet, just like any other spreadsheet command. By breaking down barriers to the effective use of computers, statistical concepts can be learned more quickly and painlessly.

Key Features

-Many people are familiar and comfortable with working from an Excel spreadsheet, so this software would be generally less intimidating compared to other software.
-By breaking down barriers to the effective use of computers, statistical concepts can be learned more quickly and painlessly.

-For each analysis, the screen describes exactly what kind of analysis will be done, and it is clear what additional information the user needs to input.

-Statpad is very useful for doing a quick and simple analysis
summary and plotting functions are especially convenient


MBA statistics students/professionals using excel to conduct data analysis (statistics). Suitable for Introductory business/management statistics course offered for undergraduate students or quantitative methods in management/ analytics for managers at the MBA level.


© 2011
Academic Press
Print ISBN:
Electronic ISBN:

About the author

Andrew Siegel

Andrew F. Siegel holds the Grant I. Butterbaugh Professorship in Quantitative Methods and Finance at the Michael G. Foster School of Business, University of Washington, Seattle, and is also Adjunct Professor in the Department of Statistics. His Ph.D. is in statistics from Stanford University (1977). Before settling in Seattle, he held teaching and/ or research positions at Harvard University, the University of Wisconsin, the RAND Corporation, the Smithsonian Institution, and Princeton University. He has taught statistics at both undergraduate and graduate levels, recently earning Excellence in Teaching Awards for Executive MBA statistics instruction, 2013, and 2014. The interest-rate model he developed with Charles Nelson (the Nelson-Siegel Model) is in use at central banks around the world. His work has been translated into Chinese and Russian. His articles have appeared in many publications, including the Journal of the American Statistical Association, the Encyclopedia of Statistical Sciences, the American Statistician, Proceedings of the National Academy of Sciences, Nature, the American Mathematical Monthly, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Probability, the Society for Industrial and Applied Mathematics Journal on Scientific and Statistical Computing, Statistics in Medicine, Biometrika, Biometrics, Statistical Applications in Genetics and Molecular Biology, Mathematical Finance, and the Journal of Applied Probability.

Affiliations and Expertise

Professor of Information Systems and Operations Management, Professor of Finance and Business Economics, and Adjunct Professor of Statistics, Foster School of Business, University of Washington, Seattle, WA, USA