Statistics for engineers and scientists
Author(s)
Bibliographic Information
Statistics for engineers and scientists
McGraw-Hill Higher Education, c2008
2nd ed
- : International ed
Available at 2 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 bibliographical references (p. 819-821) and index
Description and Table of Contents
- Volume
-
: International ed ISBN 9780071102223
Description
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.
Table of Contents
1 Sampling and Descriptive Statistics2 Probability3 Propagation of Error4 Commonly Used Distributions5 Confidence Intervals6 Hypothesis Testing7 Correlation and Simple Linear Regression8 Multiple Regression9 Factorial Experiments10 Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Index
- Volume
-
ISBN 9780073309491
Description
Real World Data Sets with new problems along with ARIS, McGraw-Hill's Homework Management System, define what this second edition has to offer. Within ARIS, Navidi offers 300 algorithmic practice problems along with Java applets that allow students to interactively explore ideas in the text. Customizable PowerPoint lecture notes for each chapter are available as well, along with suggested syllabi, and other features. More information can be found at aris.mhhe.com.This new edition includes more than 200 new exercises, a new section on point estimation on histograms, and provides discussion of Chebyshev's inequality.
Table of Contents
1 Sampling and Descriptive Statistics2 Probability3 Propagation of Error4 Commonly Used Distributions5 Confidence Intervals6 Hypothesis Testing7 Correlation and Simple Linear Regression8 Multiple Regression9 Factorial Experiments10 Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Index
by "Nielsen BookData"