The sums of squares in an ANOVA test measure the amount of variability in the data.

Name: The sums of squares in an ANOVA test measure the amount of variability in the data.
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The sums of squares in an ANOVA test are used to calculate the mean squares, which are in turn used to calculate the F-statistic. The larger the sums of squares, the more variability there is in the data, indicating that there may be significant differences between the groups being compared.

The Sums of Squares in an ANOVA Test Measure the Amount