Practical statistics and experimental design for plant and crop science
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Chichester, England :
John Wiley ,
c2001
|
| Subjects: |
Table of Contents:
- 1. Basic principles of experimentation
- 2. Basic statistical calculations
- 3. Basic data summary
- 4. The normal distribution, the t-distribution and confidence intervals
- 5. Introduction to hypothesis testing
- 6. Comparison of two independent sample means
- 7. Linear regression and correlation
- 8. Curve fitting
- 9. The completely randomised design
- 10. The randomised block design
- 11. The Latin square design
- 12. Factorial experiments
- 13. Comparison of treatment means
- 14. Checking the assumptions and transformation of data
- 15. Missing values and incomplete blocks
- 16. Split plot designs
- 17. Comparison of regression lines and analysis of covariance
- 18. Analysis of counts
- 19. Some non-parametric methods
- App. 1 The normal distribution function
- App. 2 Percentage points of the normal distribution
- App. 3 Percentage points of the t-distribution
- App. 4a 5 per cent points of the F-distribution
- App. 4b 2.5 per cent points of the F-distribution
- App. 4c 1 per cent points of the F-distribution
- App. 4d 0.1 per cent points of the F-distribution
- App. 5 Percentage points of the sample correlation coefficient (r) when the population correlation coefficient is 0 and n is the number of X, Y pairs
- App. 6 5 per cent points of the Studentised range, for use in Tukey and SNK tests
- App. 7 Percentage points of the chi-square distribution
- App. 8 Probabilities of S or fewer successes in the binomial distribution with n 'trials' and p=0.5
- App. 9 Critical values of T in the Wilcoxon signed rank or matched pairs test
- App. 10 Critical values of U in the Mann-Whitney test