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Statistics for engineers and scientists / William Navidi, Colorado School of Mines.

By: Navidi, William Cyrus.
New York, NY, USA : McGraw-Hill Education, ©2015Edition: Fourth edition.Description: xvi, 910 pages : color illustrations ; 24 cm.Content type: text ISBN: 9781259251603.Other title: Statistics for engineers & scientists [Cover title].Subject(s): Mathematical statistics -- Simulation methods | Bootstrap (Statistics) | Linear models (Statistics) | Engineering -- Statistical methods | Science -- Statistical methodsDDC classification: 519.5/N22
Contents:
1) Sampling and Descriptive Statistics 2) Probability 3) Propagation of Error 4) Commonly Used Distributions 5) Confidence Intervals 6) Hypothesis Testing 7) Correlation and Simple Linear Regression 8) Multiple Regression 9) Factorial Experiments 10) Statistical Quality Control A - Tables B - Partial Derivatives C - Suggestions for Further Reading Answers to Odd-Numbered Exercises Index
Summary: Offers a clear presentation of applied statistics. This book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. It explains difficult concepts clearly, along with the use of contemporary real world data sets to show direct connections to industry and research.
Item type Current location Call number Copy number Status Date due Barcode
Books Books College Library
General Reference Section
COE 519.5/N22 (Browse shelf) c.1 Available 82132
Books Books College Library
General Reference Section
COE 519.5/N22 (Browse shelf) c.2 Available 82259

College of Engineering and Computer Studies

Includes bibliographical references and index.

1) Sampling and Descriptive Statistics 2) Probability 3) Propagation of Error 4) Commonly Used Distributions 5) Confidence Intervals 6) Hypothesis Testing 7) Correlation and Simple Linear Regression 8) Multiple Regression 9) Factorial Experiments 10) Statistical Quality Control A - Tables B - Partial Derivatives C - Suggestions for Further Reading Answers to Odd-Numbered Exercises Index

Offers a clear presentation of applied statistics. This book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. It explains difficult concepts clearly, along with the use of contemporary real world data sets to show direct connections to industry and research.

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