In an analysis of variance, if the null hypothesis is true, then:
the research hypothesis can also be true.
fewer participants can be included in the experiment.
there is less variance among means of samples than if the null hypothesis were not true.
the within-groups estimate of the population variance is smaller than the between-groups estimate.