Practical Business Statistics with STATPAD

Practical Business Statistics with StatPad combines two excellent resources for the added benefit of students and instructors. Practical Business Statistics is a book that motivates business students to learn by showing how each concept and method can be used by managers in the real world, with many current data examples from business and government websites presented in a well-written and lively style. StatPad is statistical software, specifically, an add-in that simplifies data analysis when using Excel by organizing statistical methods for quick and easy access, while providing interpretations of the results along with the standard numbers.

-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

 

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, and earned seven teaching awards in 2015 and 2016. 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, Contemporary Accounting Research, the Journal of Finance, and the Journal of Applied Probability.