Synopses & Reviews
Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 5e, includes all of the strengths of the longer best-selling Anderson/Sweeney/Williams STATISTICS FOR BUSINESS AND ECONOMICS, with a focus on the most important core topics for a concise presentation that's easy for students to follow. This brief introduction to business statistics offers a wealth of actual business examples, proven methods, and application exercises that clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. High-quality problems, trusted for their unwavering accuracy, and the authors' signature problem-scenario approach clearly show how to apply statistical methods in practical business situations. New case problems as well as methods, applications, and self-test exercises encourage students to master formulas, apply materials, and evaluate their personal understanding. Optional updated appendices highlight the latest Excel? 2007 and Minitab? 15 popular commercial software, giving you the choice of integrating or omitting computer coverage in your course. This edition's concise approach and comprehensive support package, now including CengageNOW course management system, provides everything you need for an effective statistics course that prepares students for the essentials of statistics success in business today.
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.
Review
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.
Review
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.
Synopsis
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.
Synopsis
A brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. This essentials version features selected core topics from the authors' market-leading Statistics for Business and Economics, 8th, 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 statistical techniques. Methods, Applications, and Self-Test exercises include hundreds of problems based on real data. Examples and exercises throughout focus on ways that statistics 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 and Excel formats.
About the Author
Dr. 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. He was also 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. Dr. 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.Dr. 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 and 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 and Gamble, Federated Department Stores, Kroger, and Cincinnati Gas and Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences, and other journals. Dr. Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.Dr. 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, 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 first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Dr. 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.
Table of Contents
1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Presentations. 3. Descriptive Statistics: Numerical Measures. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Tests. 10. Comparisons Involving Means, Experimental Design, and Analysis of Variance. 11. Comparisons Involving Proportions and a Test of Independence. 12. Simple Linear Regression. 13. Multiple Regression.