Similar to the t-test, we look up the F value in a table, for a given and degrees of freedom to determine significance
Thus, F statistic sensitive to sample size.
Big N Big Power Easier to find significance
Small N Small Power Difficult to find significance
What we usually want to know is the effect size
Does the treatment make a big difference (i.e., large effect)?
Or does it only make a small different (i.e., small effect)?
Depending on what we are doing, small effects may be important findings