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Data Analysis with Excel: An Introduction for Physical Scientists / Edition 1

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Overview

Data analysis is of central importance in the education of scientists. This book offers a compact and readable introduction to techniques relevant to physical science students. The material is thoroughly integrated with the popular and powerful spreadsheet package Excel by Microsoft. Excel features of most relevance to the analysis of experimental data in the physical sciences are dealt with in some detail. Fully worked problems reinforce basic principles. Underlying assumptions and range of applicability of techniques are discussed, though detailed derivations of basic equations are mostly avoided or confined to the appendices.
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Editorial Reviews

From The Critics
Believing that no textbook offers an introduction to data analysis techniques that is user-friendly and relevant to undergraduate students in the physical sciences, Kirkup (U. of Technology, Sydney) explains in his the use of Microsoft's Excel (up to Excel 2002 for PC) spreadsheets in analyzing data from scientific experiments. Includes statistical tables, formulae, exercises and problems with an answer key, and a Web support site. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780521797375
  • Publisher: Cambridge University Press
  • Publication date: 3/28/2002
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 468
  • Product dimensions: 6.85 (w) x 9.72 (h) x 1.10 (d)

Meet the Author

Les Kirkup is Associate Professor in the School of Physics and Advanced Materials, University of Technology, Sydney. A dedicated lecturer, many of his educational developments have focused on enhancing the laboratory experience of undergraduate students. In May 2011, he was awarded an Australian Learning and Teaching Council National Teaching Fellowship.
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Table of Contents

Preface
1 Introduction to scientific data analysis 1
2 Excel and data analysis 39
3 Data distributions I 85
4 Data distributions II 138
5 Measurement, error and uncertainty 161
6 Least squares I 213
7 Least squares II 280
8 Tests of significance 315
9 Data Analysis tools in Excel and the Analysis ToolPak 364
App. 1: Statistical tables 381
App. 2 Propagation of uncertainties 390
App. 3 Least squares and the principle of maximum likelihood 392
App. 4 Standard errors in mean, intercept and slope 398
App. 5 Introduction to matrices for least squares analysis 403
App. 6 Useful formulae 409
Answers to exercises and problems 413
References 438
Index 441
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