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A Practical Guide to Data Analysis for Physical Science Students

A Practical Guide to Data Analysis for Physical Science Students

A Practical Guide to Data Analysis for Physical Science Students
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A Practical Guide to Data Analysis for Physical Science Students Hardback - 1991

by Lyons, Louis

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Cambridge University Press. Used - Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
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Details

  • Title A Practical Guide to Data Analysis for Physical Science Students
  • Author Lyons, Louis
  • Binding Hardback
  • Edition [ Edition: Repri
  • Condition Used - Good
  • Pages 112
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge
  • Publication date 1991-11-29
  • Features Glossary
  • Bookseller's Inventory # Z1-A-012-02597
  • ISBN 9780521414159 / 0521414156
  • Weight 0.64 lbs (0.29 kg)
  • Dimensions 8.5 x 5.5 x 0.44 in (21.59 x 13.97 x 1.12 cm)
  • Category Science
  • Library of Congress subjects Physics - Experiments - Statistical methods
  • Library of Congress Catalogue Number 91019623
  • Dewey Decimal Code 500.207

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Reader reviews for A Practical Guide to Data Analysis for Physical Science Students

From the publisher

This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyze data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. Students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort.
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