Data Analysis for Physical Scientists
eBook - PDF

Data Analysis for Physical Scientists

Featuring ExcelÂŽ

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Data Analysis for Physical Scientists

Featuring ExcelÂŽ

Book details
Table of contents
Citations

About This Book

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 ExcelÂŽ 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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Information

Publisher
Cambridge University Press
Year
2012
ISBN
9781139153294
Edition
2
Topic
Physical Sciences
Subtopic
Mathematical & Computational Physics

Table of contents

  1. Cover
  2. DATA ANALYSIS FOR PHYSICAL SCIENTISTS: FEATURING EXCEL
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface to the second edition
  8. Preface to the first edition
  9. Chapter 1: Introduction to scientific data analysis
  10. Chapter 2: Excel and data analysis
  11. Chapter 3: Data distributions I
  12. Chapter 4: Data distributions II
  13. Chapter 5: Measurement, error and uncertainty
  14. Chapter 6: Least squares I
  15. Chapter 7: Least squares II
  16. Chapter 8: Non-linear least squares
  17. Chapter 9: Tests of significance
  18. Chapter 10: Data Analysis tools in Excel and the Analysis ToolPak
  19. Appendix 1: Statistical tables
  20. Appendix 2: Propagation of uncertainties
  21. Appendix 3: Least squares and the principle of maximum likelihood
  22. Appendix 4: Standard uncertainties in mean, intercept and slope
  23. Appendix 5: Introduction to matrices for least squares analysis
  24. Appendix 6: Useful formulae
  25. Answers to exercises and end of chapter problems
  26. References
  27. Index