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Business Statistics, Second Edition, helps students gain the statistical tools and develop the understanding they’ll need to make informed business decisions using data. The dynamic approach conquers the modern challenges of teaching business statistics by making it relevant, emphasizing analysis and understanding over simple computation, preparing students to be more analytical, make better business decisions, and effectively communicating results.
This text features a wealth of real data applications, with coverage of current issues including ethics and data mining. It draws readers in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences. Learning tools such as the Plan/Do/Report guided examples prepare students to tackle any business problem they will encounter as a future business leader.
This book follows the GAISE Guidelines, emphasizing real data and real-world interpretations of analyses.
- Sales Rank: #354801 in Books
- Brand: Unknown
- Published on: 2011-01-06
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 1.50" w x 8.70" l, 4.54 pounds
- Binding: Hardcover
- 1008 pages
From the Back Cover
About the Author
Norean Sharpe (Ph.D. University of Virginia), as a researcher of statistical problems in business and a professor at a business school, understands the challenges and specific needs of the business student. She is currently teaching at the McDonough School of Business at Georgetown University, where she is also Associate Dean and Director of Undergraduate Programs. Prior to joining Georgetown, she taught business statistics and operations research courses to both undergraduates and MBAs for fourteen years at Babson College. She is the recipient of the 2008 Women Who Make a Difference Award for female faculty at Babson. Prior to joining Babson, she taught statistics and applied mathematics courses for several years at Bowdoin College. Norean is coauthor of the recent text, A Casebook for Business Statistics: Laboratories for Decision Making, and has authored more than 30 articles-primarily in the areas of statistics education and women in science. Norean currently serves as Associate Editor for CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) and Associate Editor for the journal Cases in Business, Industry, and Government Statistics. Her research focuses on business forecasting and statistics education.
Richard D. De Veaux (Ph.D. Stanford University) is an internationally known educator, consultant, and lecturer. Dick has taught Statistics at a business school (The Wharton School of the University of Pennsylvania), an engineering school (Princeton University), and a liberal arts college (Williams College). He is an internationally known lecturer in data mining and is a consultant for many Fortune 500 companies in a wide variety of industries. While at Princeton, he won a Lifetime Award for Dedication and Excellence in Teaching. Since 1994, he has been a Professor of Statistics at Williams College. Dick holds degrees from Princeton University in Civil Engineering and Mathematics, and from Stanford University in Dance Education and Statistics, where he studied with Persi Diaconis. His research focuses on the analysis of large data sets and data mining in science and industry. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality and is a Fellow of the American Statistical Association. Dick is well known in industry, having consulted for such companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. He was named the “Statistician of the Year” for 2008 by the Boston Chapter of the American Statistical Association for his contributions to teaching, research, and consulting. In his spare time he is an avid cyclist and swimmer. He also is the founder and bass for the Doo-wop group, “Diminished Faculty,” and is a frequent soloist with various local choirs and orchestras. Dick is the father of four children.
Paul F. Velleman (Ph.D. Princeton University) has an international reputation for innovative statistics education. He designed the Data Desk® software package and is also the author and designer of the award-winning ActivStats® statistics package, for which he received the EDUCOM Medal for innovative uses of computers in teaching statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics. He is the founder and CEO of Data Description, Inc. (www.datadesk.com), which supports both of these programs. He also developed the Internet site, Data and Story Library (DASL) (http://lib.stat.cmu.edu/DASL/), which provides data sets for teaching Statistics. Paul co-authored (with David Hoaglin) the book ABCs of Exploratory Data Analysis. Paul has taught Statistics at Cornell University on the faculty of the School of Industrial and Labor Relations since 1975. His research often focuses on statistical graphics and data analysis methods. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Paul’s experience as a professor, entrepreneur, and business leader brings a unique perspective to the book.
Dick De Veaux and Paul Velleman have authored successful books in the introductory college and AP High School market with Dave Bock, including Intro Stats, Third Edition (Pearson, 2009), Stats: Modeling the World, Third Edition (Pearson, 2010), and Stats: Data and Models, Third Edition (Pearson, 2012).
Most helpful customer reviews
2 of 2 people found the following review helpful.
Not Bad
By Materials & Processes Engineer
The Bad.
While the "real world" approach of the book is nice, the book seems to have been hastily put together. There text contains a bothersome number are grammatical and reference errors. The periodic example problems use information that hasn't been covered yet and terms that vary from those used in the rest of the book. In two cases the term "Pearson correlation" is used in an example problem, but never defined within the text. The rest of the book simply uses the term "correlation coefficient" or "correlation". Occasional errors can be overlooked, I say this as a technical writer myself, but the degree and frequency of the errors in this text is off-puting.
The Good
The book uses many methods of summarizing the data, which can be helpful for different learning styles. In my opinion the online portion is crucial for success with this book. The online study tools and sample quizzes do a lot to reinforce the text and help you iron out any issues you're having. Quite honestly, without the online portion this book would only get 3 stars.
1 of 1 people found the following review helpful.
A textbook that can be easily read
By Kim
Each chapter starts with a short discussion of a company, and then data from that company is used to introduce the concepts throughout the chapter. The "real world" approach to introducing the concepts is appealing, and unlike other textbooks I have used in the past. It is a very readable textbook. There is a lot of online content available with the book as well, including extra problems to work through as a study aid. Overall I am satisfied with the textbook.
1 of 1 people found the following review helpful.
Great book, poor variable choices
By Steeds
Great descriptions and great deal for a great book. What can I say? A book is a book, especially when you need it for class. My only problem is this texts refers to its variables in the typical Statistical way, with little rhyme and reason. It is particularly confusing for me when my professor decides to "alter" those variables and subtle naming of variables. But hey, statistics is statistics
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