ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, FOURTH EDITION is an introductory stats textbook that emphasizes statistical concepts and applications. The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems. The easy-to-follow presentation style and problem-scenario approach clearly show how to apply statistical methods in practical business situations. This brief introduction to business statistics balances a conceptual understanding of statistics with the real-world application of statistical methodology. The essentials version features selected core topics from the authors’ market-leading STATISTICS FOR BUSINESS AND ECONOMICS, NINTH EDITION presented in 13 chapters. It includes the highly-regarded strengths of the longer text, including the problem-scenario approach that uses real-world examples to introduce stat techniques. Methods, Applications, and Self-Test exercises include hundreds of problems based on real data. Examples and exercises throughout focus on ways that stats contribute to improving the quality of products and services. This text can also be computer integrated at the discretion of the instructor. Instruction for data analysis based on Microsoft Excel and MINITAB is included in appendices of appropriate chapters. Case problems are also provided with the text, with data sets available on disk for both MINITAB 14 and Excel formats.
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Book Description
Editorial Reviews
Review
The single most important factor in the selection of ASW’s Essentials of Statistics was the quality of the homework exercises. Another factor was that the text used the Excel package and had the Excel computer supplement. The text is also readable for our average student, this is another very important factor when selecting a text.
The characteristics that figured most strongly in my decision to adopt ASW’s Essentials of Statistics for Business and Economics were the end of chapter review and formulas, topic selection, and review questions.
The characteristics of ASW’s Essentials of Statistics for Business and Economics that figured most strongly in my decision to adopt the text was that the book presents a clear and practical explanation of statistical concepts. It also contains real-world examples and problems. The book helps instructors teach fundamental statistical thinking to their students.
The characteristics that figured most strongly in my decision to adopt ASW’s Essentials of Statistics for Business and Economics were the end of chapter review and formulas, topic selection, and review questions.
The characteristics of ASW’s Essentials of Statistics for Business and Economics that figured most strongly in my decision to adopt the text was that the book presents a clear and practical explanation of statistical concepts. It also contains real-world examples and problems. The book helps instructors teach fundamental statistical thinking to their students.
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.
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.
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Most Helpful Customer Reviews
4 of 4 people found the following review helpful:
2.0 out of 5 stars
Confusing, disjointed and too expensive in my opinion.,
By Steve Grey "Steve Grey" (Bahamas) - See all my reviews
This review is from: Essentials of Statistics for Business and Economics (with CD-ROM and InfoTrac ) (Hardcover)
I teach Statistics for a living, and this book replaced the book by Weiers, a move that I have berated the folks that do our purchasing ever since. The other Stats lecturer felt the same, and we have ended up using old copies of the prior book.
For example, the book gives a miserly single page to explain Quartiles, and has very little in the way of examples that are helpful. If you HAVE to have it because your school dictates, you have to have it, but if you want to buy a book for the purpose of teaching yourself Stats, look elsewhere.
2 of 4 people found the following review helpful:
5.0 out of 5 stars
Stunningly excellent book on basic statistics.,
By Paul (Washington, DC USA) - See all my reviews
This review is from: Essentials of Statistics for Business and Economics (with CD-ROM and InfoTrac ) (Hardcover)
I've taken various probability/statistics classes as an undergrad at VA Tech, and as a grad student at GMU and MIT. This book is without question the best I have seen - by a long shot. Further, it provides the only thorough and rigorous explanation for hypothesis testing I have ever seen.
The theory and end of chapter exercises are as straightforward, clear and concise as you will get. The only manner by which this book could be improved would be by the inclusion of a rigorous proof as to why considerations regarding the degrees of freedom (dof) require that some equations have /n as a denominator while others have /(n-1).
0 of 1 people found the following review helpful:
5.0 out of 5 stars
very new book~,
Amazon Verified Purchase(What's this?)
This review is from: Essentials of Statistics for Business and Economics (with CD-ROM and InfoTrac ) (Hardcover)
the inside of the book is almost brand new~and the price is quite cheap~I like it very much~
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