8.21. The Sandler A statistic assumes related samples where data are measured according to an interval scale.
8.22. The Sandler A statistic does not assume normality on the variable measured.
8.23. The F test for analysis of variance discloses which means are significantly different from one another at a particular significance level.
8.24. Equal variances or homogeneity of variance is an assumption of the F test.
8.25. Between-group variation in the F test applies to differences between k sample means.
8.26. Within-group variation in the F test applies to score differences in each sample studied.
8.27. Test results of F are summarized in an ANOVA summary table.
8.28. The question of mean differences where k sample means are involved can be answered by applying multiple t tests as an alternative to the F test.
8.29. The F ratio is the statistic that says whether or not a mean difference exists
somewhere among the k sample means.
8.30. The Cochran C test is a test for homogeneity of variance.
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