New Cambridge Statistical Tables
2nd Edition
- Authors:
- D. V. Lindley
- W. F. Scott, Heriot-Watt University, Edinburgh
- Date Published: August 1995
- availability: In stock
- format: Paperback
- isbn: 9780521484855
Paperback
-
The second edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values may be used; the tables are generally capable of easy interpolation. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences. It will be an essential aid for teachers, researchers and students in those subjects where statistical analysis is not wholly carried out by computers.
Read more- First edition sold over 75,000 copies
- Clear typesetting making it easy to use
- Complete and up-to-date tabulation
Reviews & endorsements
'This is an excellent book offered at an unusually low price of £3.50. Any forensic scientist who analyses data will be well advised to ensure that a copy is always close to hand.' Journal of the Forensic Science Society
See more reviews' … very extensive...clear well explained tables.' P. J. Avery, British Journal of Biomedical Science
' … these are among the best available and they are well set out.' P. Sprent, Journal of Applied Ecology
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×Product details
- Edition: 2nd Edition
- Date Published: August 1995
- format: Paperback
- isbn: 9780521484855
- length: 96 pages
- dimensions: 277 x 219 x 8 mm
- weight: 0.285kg
- contains: 35 tables
- availability: In stock
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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