For an ANOVA,when the null hypothesis is true,the F-ratio is balanced so that the numerator and the denominator are both measuring the same sources of variance.

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When the null hypothesis is true, the F-ratio will be close to 1, indicating that the numerator and denominator are measuring the same amount of variation. This balance in the F-ratio is a necessary condition for accepting the null hypothesis.

For an ANOVA,when the Null Hypothesis Is True,the F-Ratio Is