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Data Analysis for Physical Scientists: Featuring Excel (R)

Data Analysis for Physical Scientists: Featuring Excel (R)

Data Analysis for Physical Scientists: Featuring Excel (R) Hardback - 2012 - 2nd Edition

by Les Kirkup

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Hardback. New. Introducing data analysis techniques, this new edition has been revised to incorporate Excel (R) 2010 to help undergraduate students develop the tools necessary for studying and working in the physical sciences. It features worked examples using actual experimental data, and over 200 in-text exercises and end-of-chapter problems.
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Details

  • Title Data Analysis for Physical Scientists: Featuring Excel (R)
  • Author Les Kirkup
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2012-02-16
  • Features Bibliography, Index, Limited Edition
  • Bookseller's Inventory # B9780521883726
  • ISBN 9780521883726 / 0521883725
  • Weight 2.6 lbs (1.18 kg)
  • Dimensions 9.8 x 6.9 x 1.2 in (24.89 x 17.53 x 3.05 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Science
  • Library of Congress subjects Electronic spreadsheets, Research - Statistical methods - Data
  • Library of Congress Catalogue Number 2011017662
  • Dewey Decimal Code 502.855
  • Quantity available 10

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From the publisher

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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