If the null hypothesis is true for one- way ANOVA, we would expect MSB to be larger than MSW, causing the critical F- score to exceed 1.0.

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If the null hypothesis is true for a one-way ANOVA, we would expect the mean squares between groups (MSB) and the mean squares within groups (MSW) to be roughly equal, leading to an F-score close to 1.0, not necessarily exceeding it. The critical F-score is determined by the degrees of freedom and the chosen significance level, not directly by the comparison of MSB and MSW.

If the Null Hypothesis Is True for One- Way ANOVA