I mean, they both look a little normal, but if you look at the skew and the kurtosis when our sample size is larger, it's more normal. This has a lower skew than when our sample size was only 5, and it has a less negative kurtosis than when our sample size was 5. So this is a more normal distribution. And one thing that we're going to explore further in a future video is not only is it more normal in its shape, but it's also a tighter fit around the mean. And you can even think about why that kind of makes sense. When your sample size is larger, your odds of getting really far away from the mean is lower, because it's very low likelihood if you're taking 25 samples or 100 samples that you're just going to get a bunch of stuff way out here, or a bunch of stuff way out here. You're very likely to get a reasonable spread of things.