A. True

In ANOVA (Analysis of Variance), the F-statistic measures the ratio of variance between groups to variance within groups.

  • Larger F-statistic: A larger F-value indicates that the variation between the group means is greater relative to the variation within each group. This suggests that there is more difference between the groups being compared than within each group.

  • Smaller F-statistic: A smaller F-value suggests that the differences between group means are relatively small compared to the variation within each group.

Therefore, a large F-statistic in ANOVA indicates that there is more difference between groups than within them.

Is a Large F-Statistic in ANOVA Indicative of Greater Between-Group Differences? (True/False)

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