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Essentials of Statistics for Business and Economics, by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J
PDF Download Essentials of Statistics for Business and Economics, by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J
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Best-selling ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 7th Edition gives you a solid foundation in statistical methodologies with the author's signature problem-scenario approach and clear writing style. Streamlined to focus on core topics, this edition includes new case problems, methods, applications, and self-test exercises to help you master key formulas and apply statistical methods to inform your business decision-making from a quantitative perspective.
- Sales Rank: #2879 in Books
- Published on: 2014-01-01
- Format: Large Print
- Original language: English
- Number of items: 1
- Dimensions: 10.20" h x 1.10" w x 8.30" l, 2.95 pounds
- Binding: Hardcover
- 752 pages
- Perfect condition
About the Author
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. Dennis J. Sweeney is a 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, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor 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 journals. Dr. Sweeney is the coauthor 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 BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.
Dr. Thomas A. Williams is Professor 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 teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. 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 undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor 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.
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 (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he was 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 over 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.
James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow in the Department of Information Systems, Statistics and Management Science at the University of Alabama. He previously served as Professor of Quantitative Analysis and the Bank of Ruston, Barnes, Thompson, & Thurman Endowed Research Professor at Louisiana Tech University and was a visiting scholar at Stanford University, Universidad de Talca, and the University of South Africa. Professor Cochran has published more than two dozen papers in the development and application of operations research and statistical methods, and his research has appeared in MANAGEMENT SCIENCE, THE AMERICAN STATISTICIAN, COMMUNICATIONS IN STATISTICS--THEORY AND METHODS, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, JOURNAL OF COMBINATORIAL OPTIMIZATION, and other professional journals. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice and the 2010 Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, he has organized and chaired teaching effectiveness workshops in Uruguay, South Africa, Colombia, India, Argentina, Kenya, Cameroon, and Croatia. He has served as a statistics and operations research consultant to numerous companies and not-for-profit organizations. He was editor-in-chief of INFORMS TRANSACTIONS ON EDUCATION from 2007 to 2012 and serves on the editorial board of INTERFACES, the JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, and ORION. He holds a B.S., M.S., and MBA from Wright State University and a Ph.D. from the University of Cincinnati.
Most helpful customer reviews
9 of 10 people found the following review helpful.
This edition does NOT include paid online access
By jcook
I purchased this book new because my course required online access which was only sold with a *new* copy. Unfortunately neither the first copy, nor the replacement Amazon sent out, included an access code. Fortunately my professor was able to procure access to the required online materials for us.
If this book is what you need, go ahead and buy it used, because the new one offers nothing but what's included on the pages.
1 of 1 people found the following review helpful.
Practical Approach
By EMC2
Book purchased for a friend in college. I did look through the book carefully and it's looks to be well written and the chapters are in a logical order. Introductory chapters present definitions and several examples from "real world" studies. The main math stats starts after a couple of chapters and is not presented from a theoretical math viewpoint. That's helpful since students taking this course would typically not be math majors.
2 of 2 people found the following review helpful.
but this textbook is horrible. It's a math based class and the book ...
By Jim
I'm not a book nerd, but this textbook is horrible. It's a math based class and the book is written in essay format explaining about a table 3 pages ago. worthless.
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