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Essentials of Modern Business Statistics (with CD-ROM)
 
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Essentials of Modern Business Statistics (with CD-ROM) (Hardcover)

by David R. Anderson (Author), Dennis J. Sweeney (Author), Thomas A. Williams (Author)
4.0 out of 5 stars See all reviews (4 customer reviews)

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Editorial Reviews

Product Description
From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, ESSENTIALS OF MODERN BUSINESS STATISTICS, 3e provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The Third Edition contains the same student learning features that have made ASW products best-sellers for years; features include the problem-scenario approach and real-world examples that introduce statistical techniques.

About the Author
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program. In addition to teaching introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. He has coauthored ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods.

Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned BS and BA degrees from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served five years as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. He has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Professor Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models.

Product Details

  • Hardcover: 728 pages
  • Publisher: South-Western College Pub; 3 edition (April 7, 2006)
  • Language: English
  • ISBN-10: 0324312849
  • ISBN-13: 978-0324312843
  • Product Dimensions: 10.1 x 7.8 x 1.2 inches
  • Shipping Weight: 3.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars See all reviews (4 customer reviews)
  • Amazon.com Sales Rank: #258,537 in Books (See Bestsellers in Books)

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3 of 3 people found the following review helpful:
5.0 out of 5 stars Great stats text, July 25, 2008
By Dandy Fan (The Old North State) - See all my reviews
My stats professor used the 2nd edition of this text for my MBA statistics class. It's a very readable book that explains the topics clearly and simply. You can almost teach yourself the material from the book without need of a professor. I recently re-read portions of the book for another class and found it easy to pick up the topics again. I wish that all of my texts were this well written. If you need a great book on statistics, then this is the one.
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0 of 2 people found the following review helpful:
2.0 out of 5 stars Missing Info, March 18, 2009
By 10ashus (Southern California) - See all my reviews
I was disappointed that the chapter on multiple regression said nothing about the two main errors to watch out for with regression: autocorrelation and multicollinearity.
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0 of 3 people found the following review helpful:
5.0 out of 5 stars Great Buy, April 19, 2008
My experience was great, I got the book I needed at a great price and got it quickly!!
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4.0 out of 5 stars yup, its a text book alright
it's a text book. i needed it for class. if you need it for class too, then i'm sure it'll work out great.
Published on July 4, 2007 by Ian Thomas

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