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9780471429838
Real data. Real applications. Real decisions. Do bigger donut shops sell more donuts? How do firms in the electronic industry select suppliers? Does it pay to enter India2s huge untapped rural marketplace? To solve real-world business decision dilemmas such as these, you need the power f statistics. Almost every business area relies on statistics-from information gathered about the marketplace and the competition to economic and financial data. But the numbers don2t mean anything, unless you can make an informed decision based on the data that has been collected. That2s why Ken Black2s BUSINESS STATISTICS for Contemporary Decision Making equips you with the quantitative decision-making skills and analysis techniques you need to make smart decisions based on real-world data. Here2s how Black2s practical, problem-solving approach prepares you for the real business world: Decision Dilemmas at the beginning of each chapter give you the opportunity to apply the techniques presented in the chapter to real-world business scenarios. Up-to-Date Coverage of Techniques includes Chi-square, scatter plots, regression analysis, time series forecasting,and the HTAB (Hypothesize, Test, Action, Business implications) system for testing hypotheses. In Response sections at the end of chapters address the questions posed by the Decision Dilemmas using techniques and concepts from the chapter. Using the Computer sections explain how to use MINITAB and Microsoft Excel to analyze data with the techniques from the chapter. Business-Oriented Cases, including new and updated cases in this edition, illustrate and analyze real problems facing real companies. A Resource-Filled CD (packaged with this text) features problem datasets in MINITAB and Microsoft Excel and real databases containing data gathered Stock Exchange. Ethical Considerations sections help you understand ethical issues in statistics, such as violation of assumptions, misrepresentation of graphs, and over and under-stating results.Black, Ken is the author of 'Business Statistics Contemporary Decision Making', published 2003 under ISBN 9780471429838 and ISBN 047142983X.
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