And this stands for Fisher, who was the biologist and statistician who came up with this. So our F statistic is going to be 12. And what we're going to see is this is a pretty high number. Now one thing I forgot to mention, any hypothesis test, we need to have some type of significance level. And so let's say the significance level that we care about for our hypothesis test is 10%, is 0.10, which means that if we assume, if assuming the null hypothesis, there is less than a 10% chance of getting the result that we got, of getting this F statistic, then we will reject the null hypothesis. So what we want to do is figure out a critical F statistic value that getting that extreme of a value or greater is 10%, and if this is bigger than our critical F statistic value, then we're going to reject the null hypothesis. If it's less, we can't reject the null hypothesis.