Statistics for Technology: A Course in Applied Statistics (Science Paperbacks, 114)
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Book Overview
One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters. Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing. Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.
Format:Paperback
Language:English
ISBN:0412253402
ISBN13:9780412253409
Release Date:June 1983
Publisher:CRC Press
Length:384 Pages
Weight:1.15 lbs.
Dimensions:0.8" x 6.1" x 9.0"
Age Range:18 years and under
Grade Range:Postsecondary
Customer Reviews
2 ratings
great statistics book
Published by Thriftbooks.com User , 17 years ago
I must have 50 books on statistics in my collection at all levels and this book is one of the best. If you have some background in calculus and want a concise and well-written introduction to applied statistics this is a must have book. After reading this book, you will begin to doubt the standard textbook paradigm of 1000 page glossy stats books containing one million problems along with cd rom and associated website.
A truly great book
Published by Thriftbooks.com User , 18 years ago
I'm not a mathematician or statistician - just a lowly engineer - but I've compiled quite a library of math and stats book over the years and for my money I haven't seen a basic statistics book that even comes close to this classic from 1983. Chatfield not only knows his subject but knows how to present the concepts clearly and demonstrate their application with interesting and relevant examples. And he writes amazingly well - so well that it may actually startle you if, like me, you've spent many painful hours stumbling through the prose wasteland of most math/stats books. Too bad those expert in the language of mathematics so often exhibit English language skills somewhere between "abysmal" and "pathetic" - fortunately Chatfield's book is a shining counterexample.
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