Cochran's test
Cochran's test
[′käk·rənz ‚test] (statistics)
A test used when one estimated variance appears to be very much larger than the remainder of the estimated variances; based on the ratio of the largest estimate of the variance to the total of all the estimates.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive
Heterogeneity of the variances was assessed by
Cochran's test with no significant differences among variances.
Exploratory data analysis (Cochran's test) (LOPES, 2003), to assess the homogeneity of variances;
Using Cochran's test, the homoscedasticity of variances is compared; that is, it is possible to assess whether the variance of the obtained results by a group is excessive compared to the other groups; it is a one-sided test.
T-tests for comparative pair treatment and
Cochran's test were used to analyze the decision variables.
Cochran's test of maximum variance identified 1 analytical outlier.
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