This best-selling text by John Taylor, now released in its second edition, 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. The first edition of this book has been translated into six languages.
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Editorial Reviews
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A high-quality resource [students] can continue to learn from, even after they graduate. --Physics Today
Score a hit! The book reveals the exceptional skill of the author as lecturer and teacher. --The Physics Teacher
Score a hit! The book reveals the exceptional skill of the author as lecturer and teacher. --The Physics Teacher
About the Author
John Taylor is Professor of Physics and Presidential Teaching Scholar at the University of Colorado in Boulder. He has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called "Physics 4 Fun." Taylor is the author of three best-selling textbooks.
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Most Helpful Customer Reviews
27 of 28 people found the following review helpful:
5.0 out of 5 stars
Easy-To-Read Text on Error Analysis,
By
This review is from: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (Paperback)
Many undergraduate students in sciences and engineering must have encountered this experience: You conduct an experiment and collect the relevant data. You are asked to fit your data into a straight line by performing one or multiple linear regression. You are also to present any uncertainty and error in your data as well as calculation. You panic and scratch your head and don't know what's the appropriate procedure to carry out these analysis.Here comes John Taylor's "An Introduction to Error Analysis", which introduces the study of uncertainties to students. The book assumes no prior knowledge and uses a plethora of pertinent examples (drawn from chemistry, physics, and engineering) to illustrate topics like propagation of uncertainties, random uncertainties, rejection of data, least-squares fitting, and distribution. This book will save hours of studying and researching on error analysis method. It is very well-written and reader-friendly that lower division students will find it useful.
14 of 14 people found the following review helpful:
5.0 out of 5 stars
Excellent!,
By A Customer
This review is from: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (Hardcover)
I bought the first edition of this book as an engineering graduate student in the early '80s, and it sparked my enduring fascination with statistical methods. I'm a software engineer with a major statistical software firm now, and I still refer to my copy regularly.When I purchased the second edition this year for my son, who is a junior in college, I doubted that it could improve on the original. I was wrong. John Taylor has outdone himself. The new examples are superb enhancements of an already outstanding text.
7 of 7 people found the following review helpful:
5.0 out of 5 stars
Great "second pass" book,
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This review is from: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (Paperback)
Even if you have achieved a high level of mathematical sophistication, this book is a great read. I find myself gaining great new insights to basic principles due to Taylor's logical developments. This is simply the best available introductory text on error analysis.
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Inside This Book
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First Sentence:
Part I introduces the basic ideas of error analysis as they are needed in a typical first-year, college physics laboratory. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
definite average rate, normal error integral, highest probable value, treated skis, best estimates for the constants, fractional uncertainty, infinitely many measurements, introductory physics laboratory, reduced chi squared, fractional uncertainties, true average number, negligible uncertainty, original uncertainties, quadratic sum, final uncertainty, stepwise calculation, percent uncertainty, counting experiment, provisional rule, expected average number, random uncertainties, percentage uncertainties, percent uncertainties, uncorrelated variables, four bins Key Phrases - Capitalized Phrases (CAPs): (learn more)
Independent Uncertainties, Preliminary Description of Error Analysis, Least-Squares Fits, Measured Answer, Other Curves, Checking Relationships, Comparison of Two Measured Numbers, General Definition of Chi Squared, Properties of the Binomial Distribution, Testing of Hypotheses, John Wiley, Propagation Step New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Part I introduces the basic ideas of error analysis as they are needed in a typical first-year, college physics laboratory. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
definite average rate, normal error integral, highest probable value, treated skis, best estimates for the constants, fractional uncertainty, infinitely many measurements, introductory physics laboratory, reduced chi squared, fractional uncertainties, true average number, negligible uncertainty, original uncertainties, quadratic sum, final uncertainty, stepwise calculation, percent uncertainty, counting experiment, provisional rule, expected average number, random uncertainties, percentage uncertainties, percent uncertainties, uncorrelated variables, four bins Key Phrases - Capitalized Phrases (CAPs): (learn more)
Independent Uncertainties, Preliminary Description of Error Analysis, Least-Squares Fits, Measured Answer, Other Curves, Checking Relationships, Comparison of Two Measured Numbers, General Definition of Chi Squared, Properties of the Binomial Distribution, Testing of Hypotheses, John Wiley, Propagation Step New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 7
books:
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11
books
cite this book:
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- Data Analysis for Scientists and Engineers by Stuart L. Meyer on page 251, and Back Matter
- Introduction to Probability and Statistics by Henry L. Alder on page 150, and Back Matter
- Introduction to Probability, by Bowman in Back Matter
- Experimental Measurements: Precision, Error and Truth by N. C. Barford in Back Matter
- Data Reduction and Error Analysis for the Physical Sciences by Philip Bevington in Back Matter
See all 7 books this book cites
- Spatial Data Quality by Wenzhong Shi on page 17
- Excel Best Practices for Business: Covers Excel 2003, 2002, and 2000 by Loren Abdulezer on page 245
- Logistics Systems Analysis by Carlos F. Daganzo in Back Matter
- RAMAS Risk Calc 4.0 Software: Risk Assessment with Uncertain Numbers by Scott Ferson in Back Matter
- Getting It Right: R&D Methods for Science and Engineering by Peter Bock in Back Matter
See all 11 books citing this book
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