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Experimental Methods for Science and Engineering Students
An Introduction to the Analysis and Presentation of Data

2nd Edition


  • Author: Les Kirkup, University of Technology, Sydney
  • Date Published: September 2019
  • availability: In stock
  • format: Hardback
  • isbn: 9781108418461

£ 37.99

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About the Authors
  • Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to deal with measurement uncertainties, understanding the statistical basis of data analysis and reporting the results of experiments. However, with new technologies influencing how experiments are devised, carried out, analyzed, presented and reported, this new edition reflects the digital changes which have taken place and the increased emphasis on the importance of communication skills in reporting results. Bringing together key elements of experimental methods into one coherent book, it is perfect for students seeking guidance with their experimental work, including how to acquire, analyse and present data. Exercises, worked examples and end-of-chapter problems are provided throughout the book to reinforce fundamental principles.

    • Provides comprehensive coverage of experimental methods for science and engineering students
    • Includes new information on relevant digital technologies
    • Solutions to exercises and end-of-chapter problems can be found at the end of the book
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    Product details

    • Edition: 2nd Edition
    • Date Published: September 2019
    • format: Hardback
    • isbn: 9781108418461
    • length: 236 pages
    • dimensions: 253 x 193 x 14 mm
    • weight: 0.67kg
    • contains: 54 b/w illus. 95 tables
    • availability: In stock
  • Table of Contents

    Preface to the second edition
    Preface to the first edition
    1. Introduction to experimentation
    2. Characteristics of experimental data
    3. Graphical presentation of data
    4. Dealing with uncertainties
    5. Statistical approach to variability in measurements
    6. Fitting a line to x-y data using the method of least squares
    7. Report writing and presentations
    8. Using Excel to present and analyse data
    9. Computer-aided data capture
    Appendix 1
    Appendix 2
    Solutions to exercises and problems
    Further reading

  • Author

    Les Kirkup, University of Technology, Sydney
    Les Kirkup is an Adjunct Professor in the Faculty of Science and Honorary Professor in the School of Physics at the University of Technology, Sydney. He has devised laboratory programs and taught extensively in undergraduate laboratories, and has been recognised for his work in supporting student learning in laboratories with two national fellowships, and the Australian Institute of Physics Education Medal (2014).

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