Introduction to Design and Analysis of Experiments

Cobb, George W.

ISBN 10: 047041216X / ISBN 13: 9780470412169

Published by Wiley, 2008

About this Item

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Bibliographic Details

• Title: Introduction to Design and Analysis of Experiments
• Publisher: Wiley
• Publication Date: 2008
• Language: English
• ISBN 10: 047041216X
• ISBN 13: 9780470412169
• Binding: paperback
• Condition: Good

About this title

Synopsis

Introduction to Design and Analysis of Experiments explains how to choose sound and suitable design structures and engages students in understanding the interpretive and constructive natures of data analysis and experimental design.  Cobb's approach allows students to build a deep understanding of statistical concepts over time as they analyze and design experiments. The field of statistics is presented as a matrix, rather than a hierarchy, of related concepts.  Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design or as an elementary graduate survey course. 

Widely praised for its exceptional range of intelligent and creative exercises, and for its large number of examples and data sets, Introduction to Design and Analysis of Experiments--now offered in a convenient paperback format--helps students increase their understanding of the material as they come to see the connections between diverse statistical concepts that arise from the experiments around which the text is built.

About the Author

Whether catapulting gummy bears to demonstrate to his students the fundamentals of experimental design or chairing national committees on undergraduate education in his field, George Cobb is always focused on finding new and better ways to teach statistics. Beginning in the 1980s he was in the vanguard of those who radically altered courses in introductory statistics as computers liberated them to set their students to work with real data. In recent years Cobb has turned to the content and pedagogy of more advanced classes. He has successfully sought ways to engage students from widely diverse academic backgrounds in courses that simultaneously explore mathematics and statistics.