ISBN-10:
0521424631
ISBN-13:
9780521424639
Pub. Date:
11/29/1991
Publisher:
Cambridge University Press
A Practical Guide to Data Analysis for Physical Science Students / Edition 1

A Practical Guide to Data Analysis for Physical Science Students / Edition 1

by Louis Lyons

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Overview

A Practical Guide to Data Analysis for Physical Science Students / Edition 1

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 analyze 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. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. Students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort.

Product Details

ISBN-13: 9780521424639
Publisher: Cambridge University Press
Publication date: 11/29/1991
Edition description: New Edition
Pages: 112
Sales rank: 732,891
Product dimensions: 5.98(w) x 8.98(h) x 0.28(d)

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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