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Data Analysis for Physical Scientists: Featuring Excel�

Data Analysis for Physical Scientists: Featuring Excel�

Data Analysis for Physical Scientists: Featuring Excel� Hardback - 2012 - 2nd Edition

by Kirkup, Les

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Cambridge University Press, 3/26/2012 12:00:01 A. hardcover. Good. 1.2598 9.7638 7.0866. Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, highlighting of text, writing in margins. No missing pages.
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Details

  • Title Data Analysis for Physical Scientists: Featuring Excel�
  • Author Kirkup, Les
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Good
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 3/26/2012 12:00:01 A
  • Features Bibliography, Index, Limited Edition
  • Bookseller's Inventory # mon0000004758
  • 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)
  • Size 1.2598 9.7638 7.0866
  • 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 1

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Reader reviews for Data Analysis for Physical Scientists: Featuring Excel�

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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