Chi-Squared Data Analysis and Model Testing for Beginners
Language: English
Published by Oxford University Press, 2019
- Hardcover
- New

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- Title
- Chi-Squared Data Analysis and Model Testing for Beginners
- Author
- Witkov, Carey; Zengel, Keith
- Publisher
- Oxford University Press
- Publication year
- 2019
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0198847149
- ISBN 13
- 9780198847144
By including uncertainties in the curve fitting technique, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those familiar with the material. The presentation of one and two parameter chi-squared model testing, requiring only elementary probability and algebra, is followed by case studies that apply the methods to simple introductory physics lab experiments. More challenging topics requiring calculus are addressed in an advanced topic chapter.
This self-contained and student-friendly introduction includes a glossary, end of chapter problems with complete solutions, and software scripts available in several popular programming languages that the reader can use for chi-squared model testing.
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About the Author
Carey Witkov, Former Preceptor in Physics, Harvard University, Massachusetts. Keith Zengel, Preceptor in Physics, Harvard University, Massachusetts
Carey Witkov, PhD, is a former preceptor in physics at Harvard University with over 40 years of undergraduate physics teaching experience. He taught Harvard University's innovative Principles of Scientific Inquiry (PSI) introductory physics lab courses within which freshman and sophomore students learned chi-squared analysis and model testing. His favorite physics lab experiments are those that involve simple equipment but sophisticated analysis.
Keith Zengel received his PhD in experimental particle physics from Brandeis University in 2015. He worked on the ATLAS experiment at the Large Hadron Collider, searching for supersymmetric and exotic particles and writing software for the endcap muon spectrometer. Since then he has worked as a Preceptor in Physics at Harvard University. His current research interests are introductory and intermediate classical mechanics, electrodynamics, and data analysis.
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