Statistical methods in practice : for scientists and technologists /
"This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significance testing for one mean, two means, two stand...
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| Format: | eBook |
| Language: | English |
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Chichester, U.K. :
Wiley,
2009.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Samples and populations
- 2. What is the true mean?
- 3. Exploratory data analysis
- 4. Significance testing
- 5. normal distribution
- 6. Tolerance intervals
- 7. Outliers
- 8. Significance tests for comparing two means
- 9. Significance tests for comparing paired measurements
- 10. Regression and correlation
- 11. binomial distribution
- 12. Poisson distribution
- 13. chi-squared test for contingency tables
- 14. Non-parametric statistics
- 15. Analysis of variance: Components of variability
- 16. Cusum analysis for detecting process changes
- 17. Rounding of results
- Statistical Tables.