Since the omnibus null hypothesis is rejected in a one-factor anova, We conclude that at least one of the population means is said to be different from also at least one other population mean.
It is known to be called HA. It is one that shows that at least one coefficient is said to not be equal to zero.
Note that the above is an example of an omnibus test due to the fact that the null hypothesis is testing the question of if a lot of parameters are equal to zero at once.
Hence, Since the omnibus null hypothesis is rejected in a one-factor anova, We conclude that at least one of the population means is said to be different from also at least one other population mean.
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