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The term quasi-F refers to a procedure in analysis of variance (ANOVA) dealing with the issue of creating an F ratio statistic. ANOVA statistics designate sources of variance and determine, using a significance test, whether that source of variance should be considered a significant source of accounting for observed variability in a data set. The F statistic is often described as the F ratio because the statistic is calculated as a ratio of between-group differences compared to the level of variability within the group (often referred to as the “error” term). A significant result indicates that the group assignment has relatively greater value compared to the difference existing within the group due to individual variability. This entry further explores the differences between a quasi-F and ...

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