Workshop Statistics: Discovery with Data, A Bayesian Approach (2nd edition)

James H. Albert, Allan J. Rossman Workshop Statistics: Discovery with Data, A Bayesian Approach (2nd edition)
Key College Publishing | English | 2001-03-01 | ISBN: 1930190123 | 532 pages | File type: PDF | 5,4 mb

This book is a collection of classroom and homework activities designed to introduce the student to concepts in data analysis, probability, and statistical inference. Students work toward learning these concepts through the analysis of genuine data and hands-on probability experiments and through interaction with one another, with their instructor, and with technology. Providing a one-semester introduction to fundamental ideas in statistics for college and advanced high school students, this text is designed for courses that employ an interactive learning environment by replacing lectures with hands-on activities.
This book is distinctive with respect to two aspects - its emphasis on active learning and its use of the Bayesian viewpoint to introduce the basic notions of statistical inference.

This text is written for use with the workshop pedagogical approach, which fosters active learning by minimizing lectures and eliminating the conventional distinction between laboratory and lecture sessions. The book's activities require students to collect data and perform random experiments, make predictions, read about studies, analyze data, discuss findings, and write explanations. The instructor's responsibilities in this setting are to check students' progress, ask and answer questions, lead class discussions, and deliver ``mini-lectures where appropriate. The essential point is that every student is actively engaged with learning the material through reading, thinking, discussing, computing, interpreting, writing, and reflecting. In this manner students construct their own knowledge of probability and statistical ideas as they work through the activities.

The workshop approach builds upon analysis of genuine data and leads to practical working experience. Unique in its format, the text allows students to discover statistical concepts, explore statistical principles, and apply statistical techniques. The book, in addition to the numerous activities and exercises around which the text is built, includes basic text exposition for each topic, concept wrap-ups, and data appendices. Among the many features are an emphasis on Bayesian techniques, which focus on the concept of statistical inference.

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