So you could do this, in theory, with a discrete or a continuous probability density function. But what they have here, we could take on one of 32 values and I'm just going to set the different probabilities of getting any of those 32 values. So clearly, this right here is not a normal distribution. It looks a little bit bimodal, but it doesn't have long tails. But what I want to do is first just use the simulation to understand, or to better understand, what the sampling distribution is all about. So what I'm going to do is I'm going to take, well, let's start with 5 at a time. So my sample size is going to be 5.