Hostname: page-component-848d4c4894-ttngx Total loading time: 0 Render date: 2024-06-11T21:33:04.241Z Has data issue: false hasContentIssue false

An apparent inconsistency arising from tests of significance based on fiducial distributions of unknown parameters

Published online by Cambridge University Press:  24 October 2008

F. Yates
Affiliation:
Rothamsted Experimental StationHarpenden

Extract

It has been observed that the Behrens and Fisher test of the difference of the means of two samples gives a smaller percentage of significant results than might be expected on the analogy of the ordinary t test with a pooled estimate of variance. The cause of this apparent anomaly is explained, and it is shown that the criticisms of the test to which the anomaly has given rise have their origin in (a) neglect of the relevant information provided by the estimated values of the variances, and (b) an insufficient appreciation of the fiducial basis of all tests of significance (including the ordinary t test) on small samples.

It is pointed out that Sukhatme's table (constructed for the Behrens and Fisher test) also provides a test for the weighted mean of the means of two sets of observations, concerning whose relative accuracy no prior knowledge is available.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1939

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

REFERENCES

(1)Behrens, W. V.Ein Beitrag zur Fehlerberechnung bei wenige Beobachtungen. Landwirtschaftliche Jahrbücher, 68 (1929), 807–37.Google Scholar
(2)Fisher, R. A.The fiducial argument in statistical inference. Ann. Eugenics, 6 (1935), 91398.CrossRefGoogle Scholar
(3)Fisher, R. A.On a point raised by M. S. Bartlett on fiducial probability. Ann. Eugenics, 7 (1937), 370–5.CrossRefGoogle Scholar
(4)Sukhatme, P. V.On Fisher and Behrens' test of significance for the difference in means of two normal samples. Sankhya, 4 (1938), 3948.Google Scholar
(5)Fisher, R. A.The comparison of samples with possibly unequal variances. Ann. Eugenics, 9 (1939), 174–80.Google Scholar