In fact, if we were to take a random sample of size n again and then we were to calculate the statistic again, we could very well get a different value. So these are all going to be estimates of this parameter. And so an interesting question is, is what is the distribution of the values that I could get for these statistics? What is the frequency with which I could get different values for the statistic that is trying to estimate this parameter? And that distribution is what a sampling distribution is. So let's make this even a little bit more concrete. Let's imagine where our population, I'm gonna make this a very simple example.