An introduction to error analysis: the study of uncertainties in physical measurements
by Taylor, John R., (John Robert)
This text by John Taylor introduces the study of uncertainties to lower division science students. Assuming no prior knowledge, the author introduces error analysis through the use of familiar examples ranging from carpentry to well-known historic experiments. Pertinent worked examples, simple exercises throughout the text, and numerous chapter-ending problems combine to make the book ideal for use in physics, chemistry, and engineering lab courses.
Read More ↓Title Statements
- Full title :An introduction to error analysis : the study of uncertainties in physical measurements / John R. Taylor.
Summary
This text by John Taylor introduces the study of uncertainties to lower division science students. Assuming no prior knowledge, the author introduces error analysis through the use of familiar examples ranging from carpentry to well-known historic experiments. Pertinent worked examples, simple exercises throughout the text, and numerous chapter-ending problems combine to make the book ideal for use in physics, chemistry, and engineering lab courses.
Read More ↓Edition Statements
- Publication Date:©1997
- Edition:Second edition
Publication Statements
- Publisher(s):University Science Books
- Place of Publication:Sausalito, California
- Language:eng
- Publication Date:©1997
The Physical Object
- Description:xvii, 327 pages : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:0935702423, 9780935702422, 093570275X, 9780935702750
- oclc:ocm34150960
- LC Classification:QA275
- Dewey Decimal:530.1/6
Table of Contents
Preliminary description of error analysis -- How to report and use uncertainties -- Propagation of uncertainties -- Statistical analysis of random uncertainties -- The normal distribution -- Rejection of data -- Weighted averages -- Least-squares fitting -- Covariance and correlation -- The binomial distribution -- The Poisson distribution -- The Chi-squared test for a distribution -- Appendixes. Appendix A. Normal error integral I ; Appendix B. Normal error integral II ; Appendix C. Probabilities for correlation coefficients ; Appendix D. Probabilities for Chi squared ; Appendix E. Two proofs concerning sample standard deviations -- Answers to quick checks and odd-numbered problems.
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