Download Statistics for Business: Decision Making and Analysis (2nd Edition), by Robert Stine, Dean Foster
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Statistics for Business: Decision Making and Analysis (2nd Edition), by Robert Stine, Dean Foster
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In Statistics for Business: Decision Making and Analysis, authors Robert Stine and Dean Foster of the University of Pennsylvania’s Wharton School, take a sophisticated approach to teaching statistics in the context of making good business decisions. The authors show students how to recognize and understand each business question, use statistical tools to do the analysis, and how to communicate their results clearly and concisely. In addition to providing cases and real data to demonstrate real business situations, this text provides resources to support understanding and engagement. A successful problem-solving framework in the 4-M Examples (Motivation, Method, Mechanics, Message) model a clear outline for solving problems, new What Do You Think questions give students an opportunity to stop and check their understanding as they read, and new learning objectives guide students through each chapter and help them to review major goals. Software Hints provide instructions for using the most up-to-date technology packages. The Second Edition also includes expanded coverage and instruction of Excel� 2010.
- Sales Rank: #27265 in Books
- Brand: Brand: Pearson
- Published on: 2012-12-31
- Format: Unabridged
- Original language: English
- Number of items: 1
- Dimensions: 10.70" h x 1.30" w x 8.60" l, .0 pounds
- Binding: Hardcover
- 864 pages
- Used Book in Good Condition
About the Author
Robert Stine holds a PhD from Princeton University. He has taught at the Wharton School since 1983, during which time he has regularly taught business statistics. During his tenure, Bob has received a variety of teaching awards. Bob also actively consults for industry. His clients include the pharmaceutical firms Merck and Pfizer, and he regularly works with the Federal Reserve Bank of Philadelphia on models for retail credit risk. This collaboration has produced three well-received conferences held at Wharton. His areas of research include computer software, time series analysis and forecasting, and general problems related to model identification and selection. Bob has published numerous articles in research journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, and The Annals of Statistics. He was recently awarded the 2011 Helen Kardon Moss Anvil Award for outstanding teaching quality at the Wharton School.
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Dean Foster holds a PhD from the University of Maryland. He has taught at the Wharton School since 1992 and previously taught at the University of Chicago. Dean teaches courses in introductory business statistics, probability and Markov chains, statistical computing, and advanced statistics for managers. Dean’s research areas are statistical inference for stochastic processes, game theory, machine learning, and variable selection. He is published in a wide variety of journals, including The Annals of Statistics, Operations Research, Games and Economic Behaviour, Journal of Theoretical Population Biology, and Econometrica.
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Bob Stine and Dean Foster have co-authored two casebooks: Basic Business Statistics (Springer-Verlag) and Business Analysis Using Regression (Springer-Verlag). These casebooks offer a collection of data analysis examples that motivate and illustrate key ideas of statistics, ranging from standard error to regression diagnostics and time series analysis. They also have collaborated on a number of research articles.
Most helpful customer reviews
5 of 5 people found the following review helpful.
Fine text, but lack of CD datasets makes some exercises impossible
By Christian Kaas
Pros: The text itself does an excellent job at presenting basic concepts and examples, and relating the material to realistic scenarios as one encounters in the business world (quality control, political polling, etc.) The starting point of the text is appropriate for those with no prior knowledge of statistics or, perhaps, data presentation. Thus, the first chapters aren't exactly page turners. Nonetheless, I find Stine's later chapters (14/30 onwards) provide a good shelf companion for those occasionally needing to refresh their knowledge of various tests and inference methods.
Cons: My main issue with this *Kindle edition* comes from the fact that a relatively large number of problems and exercises at the end of chapters call for datasets on a CD which is not supplied with this digital version. Sadly, the publisher's website is of little help here. If only there existed some sort of technology that would allow people to download files remotely...
2 of 2 people found the following review helpful.
Great!
By Jasmine
The book is an exact copy of the original textbook, just black and white and without page numbers that match the original textbook. But the answers to the questions at the end of every chapter makes up for it!
3 of 4 people found the following review helpful.
Really bad statistics textbook
By Chinook
First off, I have no clue why my professor actually chose to use this textbook; you would think that a very knowledgeable statistics professor would know better than to use such a verbose, pointless, and confusing textbook. The textbook is poor at explaining the concepts of statistics. Statistics as a whole is not that confusing, but this textbook makes your head spin. After a quarter of confusion, I am opting to purchase a better textbook. If you are choosing this textbook to learn about statistics, think again. There are other books out there for you!
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