Les Kirkup

Data Analysis for Physical Scientists (eBook, PDF)

Featuring Excel(R)

• Format: PDF

Produktbeschreibung

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(R) 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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 16. Februar 2012
• Englisch
• ISBN-13: 9781139153294
• Artikelnr.: 38280015

Autorenporträt

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.

Inhaltsangabe

1. Introduction to scientific data analysis; 2. Excel and data analysis; 3. Data distributions I; 4. Data distributions II; 5. Measurement, error and uncertainty; 6. Least squares I; 7. Least squares II; 8. Non-linear least squares; 9. Tests of significance; 10. Data analysis tools in Excel and the Analysis ToolPak; Appendixes; Answers to exercises and end-of-chapter problems; References; Index.

Rezensionen

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 background to the methods ... definitely one of the best on the market in this important area ... the author should be congratulated on doing a wonderful job.' Richard Brereton, Chemistry Industry