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Data Analysis with Excel®

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Details

  • 123 b/w illus. 156 tables
  • Page extent: 464 pages
  • Size: 247 x 174 mm
  • Weight: 1.162 kg

Library of Congress

  • Dewey number: 001.4/22/0285
  • Dewey version: 21
  • LC Classification: Q180.55.S7 K57 2002
  • LC Subject headings:
    • Research--Statistical methods--Data processing
    • Electronic spreadsheets
    • Microsoft Excel (Computer file)

Library of Congress Record

Hardback

 (ISBN-13: 9780521793377 | ISBN-10: 0521793378)

  • There was also a Paperback of this title but it is no longer available
  • Published March 2002

Unavailable - out of print February 2012

$212.00

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.

Contents

Preface; 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. Tests of significance; 9. Data analysis tools in Excel and the Analysis ToolPak; Appendices; References; Index.

Prize Winner

2002 Choice Outstanding Academic Title Award Winner

Reviews

"Overall I found the book excellent..." The Physicist

"Kirkup provides a very readable way for readers to learn basic principles of data analysis for the physical sciences and incoporates spreadsheets as flexible and powerful utilities...This excellent resource blends the power and utility of a popular spreadsheet package with relevant data analysis techniques and successfully combines content, relevance, and access to contemporary data analysis tools." Choice

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