Workshop Statistics - Softcover

Rossman, Allan J.; Chance, Beth L.; Oehsen, J.Barr Von

Softcover

ISBN 10: 1930190042 ISBN 13: 9781930190047

Publisher: Key College, 2001

Workshop Statistics emphasizes doing statistics as a way of learning statistics concepts and techniques. Workshop Statistics assumes the use of technology, specifically the TI-83 graphing calculator. The "workshop approach" builds upon analysis of genuine data and provides practical experience. Unique in its format, an extensive series of practical activities and exercises leads students to discover statistical concepts, explore statistical principles, and apply statistical techniques. As before, resources (data sets, answer guide, sample exams, and syllabi) are available via the Key College Publishing website. Visit: www.keycollege.com/Pages/ProdRossmanWkshpStat.html. Widely praised as the most innovative introduction for learning statistics in over a decade. Examples and exercises have been modified for use with the graphing calculator. Short computer program code is included in the appendices, for use in programming calculators. Access to either a PC or Macintosh, and the TI-Graph Link software and cables is important. Over 90 activities are included in book.

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About the Author:

Albert is Professor of Mathematics and Statistics at Bowling Green State University. He has served as Chair of the Sports Section of the American Statistical Association.

Review:

From the reviews: THE AMERICAN STATISTICIAN "Albert has done a very smooth job of writing his half of this book so that it flows with the original Rossman chapters. His chapters of the book have the same playful, and highly readable, approaches to learning statistics that have made the Workshop Statistics series so popular for introductory statistics courses where minimal mathematics ability is needed. His examples and problems are ones that a typical college student would find interesting...If you are an instructor of a class that either has been using the Workshop Statistics series, or is contemplating doing so, but have wanted a Bayesian approach, then this text is for you. This text is highly enjoyable, reads fluidly, has a pace suitable for undergraduates with minimal mathematical abilities, and covers the basics of Bayesian analysis in a way that the students will be able to follow without becoming confused by the many complicated algebraic methods behind introductory statistics...Overall, this a very excellent addition to Workshop Statistics series, and one that will make people who have wished to introduce Bayesian methods to all undergraduate students very happy. It is highly readable has excellent problems, and Allen Rossman and James Albert’s Web site include solutions to the problems, sample syllabi, sample exams, datasets, Minitab programs and macros, Java applets and a guide for instructors. Even if you do not feel that this text is suitable as the main text for your introductory course I would recommend a copy as a reference, or as a lab manual, as many of the examples and problems are suitable activities for any introductory class." "This text is highly enjoyable, reads fluidly, has a pace suitable for undergraduates with minimal mathematical abilities, and covers the basics of Bayesian analysis ... . this is a very excellent addition to the Workshop Statistics series ... . It is highly readable, has excellent problems ... . I would recommend a copy as a reference, or as a lab manual, as many of the examples and problems are suitable activities for any introductory class." (Kevin D. Rees, The American Statistician, Vol. 56 (1), 2002) "This new book in the Workshop series presents introductory statistics in a Bayesian framework. The approach ... provides students with the opportunity to explore ideas and discover results with minimal influence of the instructor. ... Each topic is accompanied by several activities, five or six of which are to be used in class and the rest for homework. ... Overall, this is a welcome addition to the books available for teaching introductory courses from a Bayesian perspective, especially while teaching to a general audience." (Mark C. Greenwood, Technometrics, Vol. 44 (3), 2002)

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