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Statistics for Business & Economics (with XLSTAT Education Edition Printed Access Card) Hardcover – International Edition, 3 February 2016

by David Anderson (Author), Dennis Sweeney (Author), Thomas Williams (Author)
4.4 4.4 out of 5 stars 134 ratings
Edition: 13th
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Helping you connect chapter concepts to real-world practice, STATISTICS FOR BUSINESS AND ECONOMICS, 13e, delivers sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in today's business world. Completely up to date, more than 350 real business examples, practical cases, and hands-on exercises bring chapter concepts to life. In addition, exercises using Minitab 17 and Microsoft (R) Office Excel (R) 2013 give you practice using leading statistical software, while support materials like MindTap (R) and CengageNOW online course management systems equip you with a wealth of resources to help maximize your course success.
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  1. ISBN-10
    1305585313
  2. ISBN-13
    978-1305585317
  3. Edition
    13th
  4. Publisher
    South West College ISE
  5. Publication date
    3 February 2016
  6. Language
    English
  7. Dimensions
    21 x 4 x 26 cm
  8. Print length
    1120 pages
  9. See all details
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From the Publisher

Get ahead with Statistics for Business & Economics (with XLSTAT Education Edition Printed Access)

Appendices include the latest software.

All step-by-step instructions in the software appendices and all textbook figures featuring software output reflect Excel 2013 and Minitab 17. This equips you with exposure to and hands-on experience with the current versions of two of the most commonly used software for statistical analysis in business.

Access to XLSTAT Education Edition.

Every new copy of the text now comes with access to XLSTAT Education Edition. Available on Cengagebrain.com, XLSTAT Education Edition offers a powerful data analysis option for Excel that includes all of the necessary support for introductory business statistics courses. XLSTAT is available for Office for Windows or Office for Mac!

Examples based on real data.

Examples and exercises reflect real data. Data from sources used by THE WALL STREET JOURNAL, USA TODAY, BARRON’S, and others draw from actual studies and applications to develop explanations and create exercises that demonstrate the many uses of statistics in business and economics.

Preparing you to work with statistical software.

To prepare you to use computer software in statistics, the text incorporates a normal probability table consistent with today’s statistical software. This cumulative normal probability table also makes it easier to compute p-values for hypothesis testing.

#BeUnstoppable with MindTap Business Statistics!

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Using MindTap throughout your course matters.

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A variety of tools are available in CengageNOWv2, all combined in one easy-to-use resource designed to improve your grades. Some resources get you prepared for class and help you succeed on homework, and others show you specific areas where you can work to improve.

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Product description

About the Author

James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and a Ph.D. from the University of Cincinnati. He has been at the University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University in Ohio, and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 30 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces, and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of Interfaces and has also served on the editorial board of INFORMS Transactions on Education. Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to 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 received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. Dr. Thomas A. Williams is a well respected textbook author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology, where he was the first chairman of the Decision Sciences Department. He taught courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Dr. Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Dr. Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. Dr. Dennis J. Sweeney is a leading textbook author, Professor Emeritus of Quantitative Analysis, and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Dr. Sweeney 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 respected journals. Dr. Sweeney is the co-author of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a B.S. degree from Drake University, graduating summa cum laude. He received his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow.

Product details

  • Publisher ‏ : ‎ South West College ISE; 13th edition (3 February 2016)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1120 pages
  • ISBN-10 ‏ : ‎ 1305585313
  • ISBN-13 ‏ : ‎ 978-1305585317
  • Dimensions ‏ : ‎ 21 x 4 x 26 cm
  • Customer Reviews:
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5.0 out of 5 stars Great book.
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