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Chi-Squared Data Analysis and Model Testing for Beginners

Carey Witkov and Keith Zengel

September 2019

ISBN: 9780198847144

112 pages
Hardback
234x156mm

Price: £39.99

Recent groundbreaking discoveries in physics have relied on chi-squared analysis and model testing. This is the first book to make this data analysis method accessible to students in introductory physics lab courses and others who need to learn this method, such as beginning researchers in astrophysics and beginners in data science.

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Description

Recent groundbreaking discoveries in physics have relied on chi-squared analysis and model testing. This is the first book to make this data analysis method accessible to students in introductory physics lab courses and others who need to learn this method, such as beginning researchers in astrophysics and beginners in data science.

  • Exclusively devoted to chi-squared analysis, in order to help the reader gain mastery of this data analysis and model testing method
  • Enables students to learn to think like scientists by teaching them how to test their models
  • Accessible material with minimal prerequisites
  • Includes problems with complete solutions, making the book suitable for self-study
  • Chi-squared software scripts provided in popular programming languages

About the Author(s)

Carey Witkov, Preceptor in Physics, Harvard University, Massachusetts, and Keith Zengel, Preceptor in Physics, Harvard University, Massachusetts

Carey Witkov, PhD, is a preceptor in physics at Harvard University with over 40 years of undergraduate physics teaching experience. He teaches Harvard University's innovative Principles of Scientific Inquiry (PSI) introductory physics lab courses within which freshman and sophomore students learn 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.

Table of Contents

    1: Introduction
    2: Statistical Toolkit
    3: One Parameter Chi-squared Analysis
    4: Two Parameter Chi-Squared Analysis
    5: Case Study 1: Falling Chains
    6: Case Study 2: Modeling Air Resistance on Falling Coffee Filters
    7: Advanced Topics