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Statistics for Business and Economics (12th Edition)
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Statistics for Business and Economics (12th Edition) Hardcover - 2012

by Sincich, Terry T,Benson, P. George,McClave, James T

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  • Hardcover

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Pearson, 2012-12-31. Hardcover. Good. 1.4173 in x 10.9843 in x 8.8976 in. This is an ANNOTATED INSTRUCTOR'S EDITION. It contains answers, solutions and notes intended for teachers and professors. May contain highlighting/underlining/notes/etc. May have used stickers on cover. Access codes and supplements are not guaranteed to be included with used books.
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About the author

Normal 0 false false false Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for 20 years.

P. George Benson is the 21st president of the College of Charleston. Prior to his appointment, he was Dean at the University of Georgia's C. Herman and Mary Virginia Terry College of Business. His research interests include quality management, strategic management, belief formation, and judgmental forecasting. He consults nationally in the areas of applied statistics, quality management, and employment discrimination.

Terry Sincich obtained his PhD in statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates in the College of Business, as well as advanced statistics to all business doctoral candidates. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, A First Course in Statistics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

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