Book contents
- Frontmatter
- Contents
- Preface
- Part I Data and error analysis
- References
- Answers to exercises
- Part II Appendices
- A1 Combining uncertainties
- A2 Systematic deviations due to random errors
- A3 Characteristic function
- A4 From binomial to normal distributions
- A5 Central limit theorem
- A6 Estimation of the variance
- A7 Standard deviation of the mean
- A8 Weight factors when variances are not equal
- A9 Least-squares fitting
- Part III Python codes
- Part IV Scientific data
- Index
A4 - From binomial to normal distributions
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Preface
- Part I Data and error analysis
- References
- Answers to exercises
- Part II Appendices
- A1 Combining uncertainties
- A2 Systematic deviations due to random errors
- A3 Characteristic function
- A4 From binomial to normal distributions
- A5 Central limit theorem
- A6 Estimation of the variance
- A7 Standard deviation of the mean
- A8 Weight factors when variances are not equal
- A9 Least-squares fitting
- Part III Python codes
- Part IV Scientific data
- Index
- Type
- Chapter
- Information
- A Student's Guide to Data and Error Analysis , pp. 143 - 147Publisher: Cambridge University PressPrint publication year: 2011