Summary: This new edition 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 learning. The authors have been writing market-leading business statistics textbooks for over 20 years. This new edition contains the same learning
features that have made ASW products best-sellers for years; features such as the problem-scenario approach, and real-world examples that introduce statistical techniques.
Summary: This new edition 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 learning. The authors have been writing market-leading business statistics textbooks for over 20 years. This new edition contains the same learning features that have made ASW products best-sellers for years; features such as the problem-scenario approach, and real-world examples that introduce statistical techniques. ...show less
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 B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as the Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program.At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate level courses in regression analysis, multivariate analysis, and management science. He has also taught statistical courses at the Department of Labor in Washington D.C. He has been honored with nominations and awards for excellence in teaching and excellence in service to student organizations.Professor Anderson has co-authored eight textbooks in the areas of statistics, management science, linear programming, and production and operations management. He is an active consultant in the field of sampling and statistical methods.
Sweeney, Dennis J. : University of Cincinnati
Dennis J. Sweeney is Professor of Quantitative Analysis and Director of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a B.S.B.A. 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. During 1978-79, he spent a year working in the management science group at Procter & Gamble; during 1981-82, he was a visiting professor at Duke University. Professor Sweeney served 5 years as Head of the Department of Quantitative Analysis and 4 years as Associate Dean of the College of Business Administration at the University of Cincinnati.Professor Sweeney has published over 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, athematical Programming, Decision Sciences, and other journals.Professor Sweeney has coauthored eight textbooks in the areas of statistics, management science, linear programming, and production and operations management.
Williams, Thomas A. : Rochester Institute of Technology
Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology. Born in Elmira, New York, he earned his B.S. degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. Before joining the College of Business at RIT, Professor Williams served for 7 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. At RIT he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as more advanced courses in regression and decision analysis. Professor Williams is the co-author of nine textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of elementary data analysis to the development of large-scale regression models.
View Table of Contents
1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Methods. 3. Descriptive Statistics: Numerical Methods. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Testing. 10. Comparisons Involving Means. 11. Comparisons Involving Proportions. 12. Simple Linear Regression. 13. Multiple Regression. 14. Statistics for Quality Control.
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