Practical Business Statistics, Sixth Edition

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9780123852083: Practical Business Statistics, Sixth Edition

Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains-but does not overemphasize-mathematical correctness. The book offers a deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to the functional areas within Business such as finance, accounting, and marketing. It is well written and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.



. User-friendly, lively writing style.
. Separate writing chapter aids instructors in teaching how to explain
quantitative analysis.
. Over 200 carefully-drawn charts and graphs show how to visualize data.
. Data mining is a theme that appears in many chapters, often featuring
a large database (included on the website) of characteristics of 20,000
potential donors to a worthy cause and the amount actually given in
response to a mailing.
. Many of the examples and problems in the sixth edition have been updated
with more recent data sets, and the ever-changing Internet continues to be
featured as a data source.
. Each chapter begins with an overview, showing why the subject is
important to business, and ends with a comprehensive summary, with
key words, questions, problems, database exercises, projects, and
cases in most chapters.
. All details are technically accurate (Professor Siegel has a PhD in Statistics
from Stanford University and has given presentations on exploratory data
analysis with its creator) while the book concentrates on the understanding
and use of statistics by managers.
. Features that have worked well for students and instructors in the first five
editions have been retained.

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Review:

Featured Excerpt from Practical Business Statistics, by Dr. Andrew Siegel

I enjoy writing. I have presented the “inside scoop” wherever possible, explaining how we statisticians really think about a topic, what it implies, and how it is useful. This approach helps bring some sorely needed life to a subject that unfortunately suffers from dreadful public relations. Of course, the traditional explanations are also given here so that you can see it both ways: here is what we say, and here is what it means, all the while maintaining technical rigor. It thrilled me to hear even some of my more quantitative-phobic students tell me that the text is actually enjoyable to read! And this was after the final grades were in!

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About the Author:

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.

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