Statistics for technology : a course in applied statistics
Author(s)
Bibliographic Information
Statistics for technology : a course in applied statistics
(Science paperbacks, 114)
Chapman and Hall, 1983
3rd ed
- pbk.
Available at 13 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographies and index
Description and Table of Contents
Description
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.
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
by "Nielsen BookData"