One of the best-selling business statistics text on the market, ASW blends concepts, techniques and applications to strike a balance between a conceptual understanding of statistics and the real-world application of statistical methodology. Uses problem-scenario business examples to introduce techniques (over 200 examples use real companies). Chapters open with Statistics in Practice applications from the business world. Problem sets are divided into Methods, Applications, and Self-Test Exercises and includes hundreds of problems based on real data and/or quality-based examples. Unique Notes and Comments sections give students additional insights about statistical methodology and helpful hints on how to avoid common statistical mistakes. This text can be computer integrated at the discretion of the instructor. Output for analysis, based on Minitab, is included throughout the text where appropriate. Instruction for data analysis based on Excel and Minitab is included in appendices of appropriate chapters. Computer cases are also provided at the end of appropriate chapters, with data sets available on disk in Minitab, Excel, and Data Analyst formats.
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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.
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