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

✍ Scribed by Les Kirkup

Publisher: Cambridge University Press
Year: 2019
Tongue: English
Leaves: 240
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Cover
Front Matter
Reviews
Experimental Methods for Science and Engineering Students:
An Introduction to the Analysis and Presentation of Data
Copyright
Dedication
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.

Degrees of Freedom and the t Distribution
APPENDIX 2.

Propagation of Uncertainties Where Errors
Are Uncorrelated
Solutions to Exercises and Problems
Further Reading
References
Index

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