The food doesn't make a difference, but my alternate hypothesis is that it does. And a way of thinking about this a little quantitatively is that if it doesn't make a difference, the true population means of the groups will be the same. So that means the true population mean of the group that took food 1 will be the same as the group that took food 2, which will be the same as the group that took food 3. If our alternate hypothesis is correct, then these means will not all be the same. So how can we test this hypothesis? So what we're going to do, we're going to assume the null hypothesis. This is what we always do in our hypothesis testing.