What Sells Game Tickets? A Quantitative Analysis of The 1980 Oakland A’s Home Game Day By Brian Hunter, M.A. In 1980, the Oakland A’s came in second place in the Western Division with 83 wins, 79 losses, and 14 games behind the first place Kansas City Royals. Steward Roddey, the general manager, has requested that an analysis be done to examine all the possible factors that could influence home game ticket sales and to gather information on pitcher Mark Nobel to use in
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What Sells Game Tickets? A Quantitative Analysis of The 1980 Oakland A’s Home Game Day Brian Hunter, M.A. Director of General Education A&B Educational Services, LLC www.abeducationalservices.com brian@abeducationalservices.com In 1980, the Oakland A’s came in second place in the Western Division with 83 wins, 79 losses, and 14 games behind the first place Kansas City Royals. Steward Roddey, the general manager, has requested that an analysis be done to examine all the possible factors
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in baseball, the Oakland Athletics, win so many games? For more than a decade the people who run professional baseball have argued that the game was ceasing to be an athletic competition and becoming a financial one. The gap between rich and poor in baseball was far greater than in any other professional sport, and widening rapidly. At the opening of the 2002 season, the richest team, the New York Yankees, had a payroll of $126 million while the two poorest teams, the Oakland A's and the Tampa Bay
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www.hbr.org Some companies have built their very businesses on their ability to collect, analyze, and act on data. Every company can learn from what these firms do. Competing on Analytics by Thomas H. Davenport Reprint R0601H Some companies have built their very businesses on their ability to collect, analyze, and act on data. Every company can learn from what these firms do. Competing on Analytics COPYRIGHT © 2005 HARVARD BUSINESS SCHOOL PUBLISHING CORPORATION. ALL RIGHTS RESERVED. by Thomas
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sell offerings similar to yours. And thanks to cheap offshore labor, you’re hard-pressed to beat overseas competitors on product cost. How to pull ahead of the pack? Become an analytics competitor: Use sophisticated data-collection technology and analysis to wring every last drop of value from all your business processes. With analytics, you discern not only what your customers want but also how much they’re willing to pay and what keeps them loyal. You look beyond compensation costs to calculate
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algorithms available without the technical details of single-disciplinary books.” — Ronny Kohavi Partner Architect at Microsoft Online Services Division “Provost and Fawcett have distilled their mastery of both the art and science of real-world data analysis into an unrivalled introduction to the field.” —Geoff Webb Editor-in-Chief of Data Mining and Knowledge Discovery Journal “I would love it if everyone I had to work with had read this book.” — Claudia Perlich Chief Scientist of M6D (Media6Degrees)
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3AccountingDay 4Organizational BehaviorDay 5Quantitative AnalysisDay 6 FinanceDay 7OperationsDay 8Economics Day 9StrategyDay 10MBA Mini-Courses ResearchPublic SpeakingNegotiating International BusinessBusiness LawTenDay MBA DiplomaAppendix: Quantitative Analysis TablesBibliographyMBA Abbreviation LexiconIndex AcknowledgmentsAbout the AuthorPraise for the Ten-Day MBACopyrightAbout the Publisher Introduction After I earned my MBA, I had a chance to reflect on the two most exhausting and fulfilling years
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3AccountingDay 4Organizational BehaviorDay 5Quantitative AnalysisDay 6 FinanceDay 7OperationsDay 8Economics Day 9StrategyDay 10MBA Mini-Courses ResearchPublic SpeakingNegotiating International BusinessBusiness LawTenDay MBA DiplomaAppendix: Quantitative Analysis TablesBibliographyMBA Abbreviation LexiconIndex AcknowledgmentsAbout the AuthorPraise for the Ten-Day MBACopyrightAbout the Publisher Introduction After I earned my MBA, I had a chance to reflect on the two most exhausting and fulfilling years
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Answering an Easier Question Part II. Heuristics and Biases 10. The Law of Small Numbers 11. Anchors 12. The Science of Availability 13. Availability, Emotion, and Risk 14. Tom W’s Specialty 15. Linda: Less is More 16. Causes Trump Statistics 17. Regression to the Mean 18. Taming Intuitive Predictions Part III. Overconfidence 19. The Illusion of Understanding 20. The Illusion of Validity 21. Intuitions Vs. Formulas 22. Expert Intuition: When Can We Trust It? 23. The Outside View 24. The Engine of Capitalism
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FREAKONOMICS A Rogue Economist Explores the Hidden Side of Everything Revised and Expanded Edition Steven D. Levitt and Stephen J. Dubner CONTENTS AN EXPLANATORY NOTE In which the origins of this book are clarified. vii PREFACE TO THE REVISED AND EXPANDED EDITION xi 1 INTRODUCTION: The Hidden Side of Everything In which the book’s central idea is set forth: namely, if morality represents how people would like the world to work, then economics shows how it actually does work. Why the conventional
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