Now, the next condition we wanna think about is the normal condition. Now, there's a couple of ways to think about it. If we had sample size of 30 or larger, the central limit theorem says, okay, the distribution, the sampling distribution would be roughly normal, the sampling distribution of the sample means. But obviously, our sample size is much smaller than that. One way to think about it, we could just plot our data points and see whether they seem to be skewed in any way. And if we just do a little dot plot right over here, we could say, let's say make this zero, one, two, three, four, five, six, seven, eight, and nine. So we have one data point where the difference was nine, one data point where the difference is five, one data point where the difference is eight, one data point where the difference is six, and another data point where the difference is six.