Description

Book Synopsis
This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyse data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics.

Trade Review
' … a very useful book … clear and lucid and designed to be taken into the laboratory … a valuable contribution to the education of physics undergraduates.' The Times Higher Education Supplement

Table of Contents
Preface; Glossary; 1. Experimental errors; 1.1. Why estimate errors?; 1.2. Random and systematic errors; 1.3. Distributions; 1.4. Mean and variance; 1.5. Gaussian distribution; 1.6. The meaning of s; 1.7. Combining errors; 1.8. Systematic errors; 1.9. An example including random and systematic errors; 1.10. Combining results of different experiments; 1.11. Worked examples; 1.12. Does it feel right?; 2. Least squares fitting; 2.1. What are we trying to do; 2.2. Weighted sum of squares; 2.3. Determining the parameters; 2.4. The error on the gradient and the intercept; 2.5. Other examples; 2.6. Observed numbers; 2.7. Parameter testing; 2.8. Distribution testing; 2.9. Worked example of a straight line fit; 2.10. Summary of straight line fitting; Problems; Appendices.

A Practical Guide to Data Analysis

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    Order before 4pm today for delivery by Thu 25 Jun 2026.

    A Paperback by Louis Lyons

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      View other formats and editions of A Practical Guide to Data Analysis by Louis Lyons

      Publisher: Cambridge University Press
      Publication Date: 11/29/1991 12:00:00 AM
      ISBN13: 9780521424639, 978-0521424639
      ISBN10: 0521424631

      Description

      Book Synopsis
      This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyse data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics.

      Trade Review
      ' … a very useful book … clear and lucid and designed to be taken into the laboratory … a valuable contribution to the education of physics undergraduates.' The Times Higher Education Supplement

      Table of Contents
      Preface; Glossary; 1. Experimental errors; 1.1. Why estimate errors?; 1.2. Random and systematic errors; 1.3. Distributions; 1.4. Mean and variance; 1.5. Gaussian distribution; 1.6. The meaning of s; 1.7. Combining errors; 1.8. Systematic errors; 1.9. An example including random and systematic errors; 1.10. Combining results of different experiments; 1.11. Worked examples; 1.12. Does it feel right?; 2. Least squares fitting; 2.1. What are we trying to do; 2.2. Weighted sum of squares; 2.3. Determining the parameters; 2.4. The error on the gradient and the intercept; 2.5. Other examples; 2.6. Observed numbers; 2.7. Parameter testing; 2.8. Distribution testing; 2.9. Worked example of a straight line fit; 2.10. Summary of straight line fitting; Problems; Appendices.

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