Now notice something, this is 10,000 times, these are both pretty good approximations of normal distributions. The n is equal to 25 is more normal, it has less skew, slightly less skew than n is equal to 16. It has slightly less kurtosis, which means it's closer to being a normal distribution than n is equal to 16. But even more interesting, it's more squeezed in, it has a lower standard deviation. The standard deviation here is 2.1, and the standard deviation here is 2.64. So that's another, I mean, you know, and I kind of touched on that in the last video, and it kind of makes sense. For every sample you do for your average, the more you put in that sample, the less standard deviation.