In ANOVA the assumption is made that the population variances of the different groups are the same. Assuming $H_0$ is correct, all population means are also the same. In this case, would it not be easier to simply assume that all observations come from the same single population? I do not see how this makes a difference in calculation, but conceptually a single population is easier to imagine and work with. Did I miss something?