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Data analysis for physical scientists : featuring Excel

Author: Les Kirkup
Publisher: Cambridge ; New York : Cambridge University Press, 2011.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Les Kirkup
ISBN: 9780521883726 0521883725
OCLC Number: 714728209
Notes: Revised edition of: Data analysis with Excel. 2002.
Description: xv, 510 pages : illustrations ; 26 cm
Contents: Introduction to scientific data analysis --
Excel and data analysis --
Data distributions I --
Data distributions II --
Measurement, error and uncertainty --
Least squares I --
Least squares II --
Non-linear least squares --
Tests of significance --
Data analysis tools in Excel and the Analysis ToolPak; Appendixes : 1. Statistical tables --
2. Propagation of uncertainties --
3. Least squares and the principle of maximum likelihood --
4. Standard uncertainties in mean, intercept and slope --
5. Introduction to matrices for least squares analysis --
6. Useful formulae.
Responsibility: Les Kirkup.
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Abstract:

Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.  Read more...

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Reviews of the first edition: 'This book is extremely well structured. It both describes the main functionality of Excel with special emphasis on scientific data analysis, as well as the statistical Read more...

 
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    schema:description ""The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book"--"@en ;
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