How do you interpret F in Anova?
How do you interpret F in Anova? The F ratio is the ratio of two mean square values. If the null hypothesis is true, you expect F to have a value close to 1.0 most of the time. A large F ratio means that the variation among group means is more than you’d expect to … Continue reading How do you interpret F in Anova?
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