If it's less, we can't reject the null hypothesis. And so I'm not going to go a lot into the guts of the F statistic, but you can already appreciate that each of these sum of squares has a chi-square distribution. This has a chi-square distribution, and this has a different chi-square distribution. This is a chi-square distribution with 2 degrees of freedom. It's a chi-square distribution with, and we haven't normalized it and all of that, but roughly a chi-square distribution with 6 degrees of freedom. So the F statistic is actually, the ratio or the F distribution is the ratio of 2 chi-square distributions. And I got this, this is a screenshot from a professor's course at UCLA, hope they don't mind, I actually needed, I had to find an F table for us to look into.