In a one-way ANOVA, the mean squares for treatments (MST) will be larger than the mean squares for error (MSE) if the null hypothesis is rejected.

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If the null hypothesis is rejected, it means that there is a significant difference between at least one of the treatment groups. This will result in greater variability between the means of the treatment groups, which will increase the MST value. If the null hypothesis is not rejected, then all treatment groups are considered equal and the MST and MSE values will be similar.

In a One-Way ANOVA, the Mean Squares for Treatments (MST)