Book contents
- Experimental Methods for Science and Engineering Students
- Reviews
- Experimental Methods for Science and Engineering Students
- Copyright page
- 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
- Book part
- Solutions to Exercises and Problems
- Further Reading
- References
- Index
5 - Statistical Approach to Variability in Measurements
Published online by Cambridge University Press: 24 August 2019
- Experimental Methods for Science and Engineering Students
- Reviews
- Experimental Methods for Science and Engineering Students
- Copyright page
- 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
- Book part
- Solutions to Exercises and Problems
- Further Reading
- References
- Index
Summary
No matter how much care is taken during an experiment, or how sophisticated the equipment used, values obtained through measurement are influenced by errors. Errors can be thought of as acting to conceal the true value of the quantity sought through experiment. Random errors cause values obtained through measurement to occur above and below the true value. This chapter considers statistically-based methods for dealing with variability in experimental data such as that caused by random errors. As statistics can be described as the science of assembling, organising and interpreting numerical data, it is an ideal tool for assisting in the analysis of experimental data.
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- Experimental Methods for Science and Engineering StudentsAn Introduction to the Analysis and Presentation of Data, pp. 85 - 110Publisher: Cambridge University PressPrint publication year: 2019