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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 155
Type: Roundtables
Date/Time: Monday, July 30, 2007 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistics in Sports
Abstract - #309070
Title: Is Tiger a Winner, or Is He Just Better Than Everyone?
Author(s): Scott Berry*+
Companies: Berry Consultants
Address: 3145 Chaco Canyon Drive, College Station, TX, 77845,
Keywords: Golf ; Tiger Woods ; Psychological Effects ; Sports ; Bayesian
Abstract:

When commentators and the sporting public talk about Tiger Woods they inevitably say he has a tremendous will to win and is mentally better than everyone else. Sports are notorious for attaching "reasons" to randomness--there has to be a reason he wins so darn much. The sports world also loves "winners." Is Tiger Woods a winner, or is he so much better than everyone else that he just wins a lot? In this talk, I use a Bayesian hierarchical model to address how good Tiger Woods is---and why he wins so much. If time permits I also will discuss what elements of his game make him so good---is it his individual measurable attributes or his intangibles?


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Revised September, 2007