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

(University of Technology, Sydney)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 05-Sep-2019
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781108304955
  • Formaat - EPUB+DRM
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 05-Sep-2019
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781108304955

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This book extensively covers a range of experimental methods and data analysis, and provides practical advice to students seeking guidance with their experimental work. Thoroughly updated from the first edition, it reflects the technological changes of the past two decades and the increased emphasis on communication skills in reporting results.

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.

Arvustused

'As an instructor in electrical engineering and a researcher in photonic engineering, I am quite confident to say that this book exceptionally explains the methods of experimentation and their presentation in terms of an article, poster, etc This book is ideal for first-year undergraduates and postgraduate research students for making the perfect lab reports. Furthermore, this book can be used as a reference and textbook by faculty and the lab instructors who want to instil the method of experimentation, analysis and presentation of the results into the students the book will address the needs of all the readers and students from various disciplines the current edition of the book is amply illustrated, and deserves to be considered as a textbook for first-year undergraduate students in physics and engineering disciplines, and a reference book for early career researchers and laboratory instructors.' Muhammad Mahmood Ali, Contemporary Physics ' a very valuable book for physical science and engineering undergraduates, introducing them to the experimental processes of data gathering and analysis, then turning what was found into formal oral or written presentations a great resource for academics teaching significant value to science teachers ' Australian Physics

Muu info

An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.
Preface to the Second Edition xi
Preface to the First Edition xiii
1 Introduction to Experimentation
1(8)
1.1 Overview: The Importance of Experiments in Science and Engineering
1(1)
1.2 Stages of a Typical Experiment
2(2)
1.3 Documenting Your Work
4(4)
1.4 Comment
8(1)
2 Characteristics of Experimental Data
9(15)
2.1 Overview: What Are the Important Features of Experimental Data?
9(1)
2.2 Units of Measurement
9(3)
2.3 Tabulation of Data
12(2)
2.4 Uncertainties in Values Obtained through Measurement
14(1)
2.5 Significant Figures
15(5)
2.6 Estimation
20(2)
2.7 Comment
22(1)
Problems
23(1)
3 Graphical Presentation of Data
24(35)
3.1 Overview: The Importance of Graphs
24(1)
3.2 Plotting Graphs
24(9)
3.3 Linear x-y Graphs
33(15)
3.4 Logarithmic Graphs
48(4)
3.5 Comment
52(1)
Problems
53(6)
4 Dealing with Uncertainties
59(26)
4.1 Overview: What Are Uncertainties?
59(2)
4.2 Uncertainty in a Single Measurement
61(2)
4.3 The Best Estimate of a Quantity Obtained through Repeat Measurements: The Mean
63(7)
4.4 Systematic and Random Errors
70(4)
4.5 Combining Uncertainties
74(7)
4.6 Selection and Rejection of Data
81(1)
4.7 Comment
82(1)
Problems
82(3)
5 Statistical Approach to Variability in Measurements
85(26)
5.1 Overview: Estimating Uncertainties with the Aid of Statistics
85(1)
5.2 Variance and Standard Deviation of Repeated Measurements
85(4)
5.3 Uncertainty in the Best Estimate of the True Value Obtained through Repeat Measurements: Standard Error of the Mean
89(2)
5.4 Displaying the Values Obtained from Repeated Measurements: The Histogram
91(10)
5.5 Combining Uncertainties When Measurement Errors Are Uncorrelated
101(2)
5.6 Continuous and Discrete Quantities
103(3)
5.7 Comment
106(1)
Problems
106(5)
6 Fitting a Line to x-y Data Using the Method of Least Squares
111(28)
6.1 Overview: How Can We Find the Best Line through x-y Data?
111(1)
6.2 The Method of Least Squares
112(9)
6.3 Weighting the Fit
121(8)
6.4 How Well Does the Line Fit the x-y Data? The Linear Correlation Coefficient, r
129(2)
6.5 Comment
131(1)
Problems
132(7)
7 Report Writing and Presentations
139(29)
7.1 Overview
139(1)
7.2 A Scientific or Technical Report
139(21)
7.3 Posters
160(3)
7.4 Oral Presentations
163(4)
7.5 Comment
167(1)
8 Using Excel to Present and Analyse Data
168(17)
8.1 Overview: Spreadsheets for Data Analysis
168(1)
8.2 Spreadsheet Basics
169(6)
8.3 Built-In Statistical Functions
175(4)
8.4 Visualising Data Using a Spreadsheet
179(2)
8.5 Other Features Offered by Excel
181(3)
8.6 Alternatives to Spreadsheets
184(1)
8.7 Comment
184(1)
9 Computer-Aided Data Capture
185(12)
9.1 Why Use a Computer to Assist in Data Capture?
185(1)
9.2 Transducers
186(1)
9.3 Signal Conditioning: A Little Electronics Goes a Long Way
187(3)
9.4 The Analogue to Digital Converter
190(1)
9.5 Data Acquisition, Processing and Analysis Options
190(6)
9.6 Comment
196(1)
Appendix 1 Degrees of Freedom and the t Distribution 197(3)
Appendix 2 Propagation of Uncertainties Where Errors Are Uncorrelated 200(2)
Solutions to Exercises and Problems 202(16)
Further Reading 218(2)
References 220(1)
Index 221
Les Kirkup is an Adjunct Professor in the Faculty of Science at the University of Technology Sydney, and Honorary Professor in the School of Physics at the University of Sydney. He has devised laboratory programmes and taught extensively in undergraduate laboratories. He has been recognised for his work supporting student learning in laboratories with two national fellowships, and the Australian Institute of Physics Education Medal.