That literally just means I take one instance of this random variable and average it. Well, it's just going to be that thing. So if I just take a bunch of trials from this thing and plot it over time, what's it going to look like? Well, it's definitely not going to look like a normal distribution. It's going to look as if you're going to have a couple of ones, you're going to have a couple of twos, you're going to have more threes like that, you're going to have no fours, you're going to have a bunch of fives, you're going to have some sixes that look like that, and then you're going to have a bunch of nines. So there your sampling distribution of the sample mean for an n of 1 is going to look, I don't care how many trials you do, it's not going to look like a normal distribution. So the central limit theorem, although, I you do a bunch of trials that look like a normal distribution, it definitely doesn't work for n equals 1.