Hostname: page-component-745bb68f8f-f46jp Total loading time: 0 Render date: 2025-01-13T13:37:26.864Z Has data issue: false hasContentIssue false
  • English
  • Français

The Deviation Test

Published online by Cambridge University Press:  03 November 2016

D.V. Anderson
D.V. Anderson*
Affiliation:
Department of Mathematics, The University of Toronto
Get access Rights & Permissions [Opens in a new window]

Extract

It is the purpose of this note to remark that the mean deviation is quite as respectable and therefore useful a test of dispersion of data as the x2 or other widely used tests—at least in simple statistical situations. That it is not used appears to result from some misunderstanding of its efficiency and perhaps also of its bias as an estimator of parameters of a frequency function.

Type
Research Article
Information
The Mathematical Gazette , Volume 53 , Issue 386 , December 1969 , pp. 380 - 382
Copyright
Copyright © Mathematical Association 1969

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. “The probability distribution of x2”, Vol. 50, no. 371, 1966, pp. 8–18.Google Scholar
2. Kendall, M. G. and Stuart, A., “The advanced theory of statistics”, Charles Griffin & Co., London, Vol. 1, p. 240.Google Scholar
3. Godwin, H.J., “On the distribution of the estimate of mean deviation obtained from samples of a normal population”, Biometrika 33, 1945, pp. 254–265.Google Scholar
4. Kendall, M. G. and Stuart, A., loc. cit. Vol. 2, p. 21.Google Scholar