The Sixth Edition of ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS is an introductory statistics book that emphasizes essential statistical concepts and their practical business applications. The discussion and development of each technique are geared toward real-world applications, with the statistical results providing insights for decisions and solutions related to common business problems. The easy-to-follow presentation style and proven problem-scenario approach clearly show how to apply statistical methods in practical business situations. This brief introduction to business statistics provides both a conceptual understanding of statistics and real-world applications of statistical methodology.
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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.
"Excellent problem sets and answers in back of book - vivid color (maintains student interest better) - thorough discussion and examples."- Gary Black, University of Southern Indiana
"1. Statistics presented in plain language, easily followed. 2. Good examples that closely follow the text discussion. 3. Well constructed homework questions that coincide with the text. 4. Tables that are easy to read." - Joseph Williams, Hawamba Community College
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