And you can actually see it in the skew and kurtosis numbers.

您实际上可以在偏斜和峰度数中看到它。

But here, all of a sudden, our kurtosis is much smaller, and our skew is much smaller.

但是在这里，突然之间，我们的峰度变小了，偏斜也变小了。

And maybe in future videos, we'll delve even deeper into things like kurtosis and skew.

也许在以后的视频中，我们会更深入地研究峰态和偏斜等问题。

And then it has a negative kurtosis, which means that it has shorter tails and smaller peaks than a standard normal distribution.

然后它有一个负峰度，这意味着它比标准正态分布有更短的尾巴和更小的峰。

It has a slightly less kurtosis, which means it's closer to being a normal distribution than n is equal to 16.

它的峰度略低，这意味着它比 n 等于 16 更接近于正态分布。