Statistics for Technology: A Course in Applied Statistics, Third Edition / Edition 3

by Chris Chatfield

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.

Product Details

ISBN-13:	9781138469877
Publisher:	Taylor & Francis
Publication date:	09/28/2017
Series:	Chapman & Hall/CRC Texts in Statistical Science
Edition description:	3rd ed.
Pages:	384
Product dimensions:	6.00(w) x 9.00(h) x (d)
Age Range:	Up to 18 Years

Table of Contents

INTRODUCTION. Outline of Statistics. Simple Ways of Summarizing Data. THEORY. The Concept of Probability. Discrete Distributions. Continuous Distributions. Estimation. Significance Tests. Regression and Correlation. APPLICATIONS. Planning the Experiment. The Design and Analysis of Experiments-1: Comparative Experiments. The Design and Analysis of Experiments-2: Factoral Experiments. Quality Control. Life Testing. Appendix A: The Relationships Between the Normal X2, t- and F-distributions. Appendix B: Statistical Tables. Appendix C: Further Reading. Appendix D: Some Other Topics. Appendix E: Some General Comments on Tackling Statistical Problems. Answers to Exercises.NTI/Sales Copy

Editorial Reviews

"The book will appeal not only to technologists requiring an introduction to statistics, but to lecturers in applied statistics and those running statistical 'service' courses for other disciplines. The industrial statistician will also find material useful in his dealings with engineers and technologists."
-Journal of the Royal Statistical Society

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