
New Cambridge Statistical Tables
by D. V. Lindley , W. F. Scott-
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Summary
Table of Contents
1. The binomial distribution function | |
2. The Poisson distribution function | |
3. Binomial coefficients | |
4. The normal distribution function | |
5. Percentage points of the normal distribution | |
6. Logarithms of factorials | |
7. The chi-squared distribution function | |
8. Percentage points of the chi-squared distribution | |
9. The t-distribution function | |
10. Percentage points of the t-distribution | |
11. Percentage points of Behrens' distribution | |
12. Percentage points of the F-distribution | |
13. Percentage points of the correlation coefficient r when rho = 0 | |
14. Percentage points of Spearman's S | |
15. Percentage points of Kendall's K | |
16. The z-transformation of the correlation coefficient | |
17. The inverse of the z-transformation | |
18. Percentage points of the distribution of the number of runs | |
19. Upper percentage points of the two-sample Kolmogorov-Smirnov distribution | |
20 Percentage points of Wilcoxon's signed-rank distribution | |
21. Percentage points of the Mann-Whitney distribution | |
22A. Expected values of normal order statistics (normal scores) | |
22B. Sums of squares of normal scores | |
23. Upper percentage points of the one-sample Kolmogorov-Smirnov distribution | |
24. Upper percentage points of Friedmann's distribution | |
25. Upper percentage points of the Kruskal-Wallis distribution | |
26. Hypergeometric probabilities | |
27. Random sampling numbers | |
28. Random normal deviates | |
29. Bayesian confidence limits for a binomial parameter | |
30. Bayesian confidence limits for a Poisson mean | |
31. Bayesian confidence limits for the square of a multiple correlation coefficient. A note on interpolation | |
Constants. |
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