In ANOVA, the F-statistic is the ratio of which variances?

Prepare for the PHFO Quantitative Analysis For Business Exam. Study with flashcards, multiple choice questions, hints, and explanations to ensure confidence and success in your exam!

Multiple Choice

In ANOVA, the F-statistic is the ratio of which variances?

Explanation:
In ANOVA, the F-statistic measures how large the variation due to differences between groups is compared with the variation that occurs within groups from random error. Concretely, it uses the between-group variance (how far group means are from the overall mean) divided by the within-group variance (how much individual observations vary around their group means). These are typically expressed as mean squares: F = MS_between / MS_within. So the ratio described is between-group variance to within-group variance. The other options don’t match this structure, since they mix in total variance or reverse the ratio.

In ANOVA, the F-statistic measures how large the variation due to differences between groups is compared with the variation that occurs within groups from random error. Concretely, it uses the between-group variance (how far group means are from the overall mean) divided by the within-group variance (how much individual observations vary around their group means). These are typically expressed as mean squares: F = MS_between / MS_within. So the ratio described is between-group variance to within-group variance. The other options don’t match this structure, since they mix in total variance or reverse the ratio.

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