And actually, for the total, we figured out we had m times n minus 1 degrees of freedom. Actually, let me just write degrees of freedom in this column right over here. In this case, the number turned out to be 8. And then just now, we calculated the sum of squares between the samples is equal to 24. And we figured out that it had m minus 1 degrees of freedom, which ended up being 2. Now, the interesting thing here, and this is why this kind of analysis of variance fits nicely together. And in future videos, we'll think about how we can actually test hypotheses using some of the tools that we're thinking about right now, is that the sum of squares within plus the sum of squares between is equal to the total sum of squares.