So the cumulative distribution function is right over here.

所以累积分布函数就在这里。

And I evaluated the cumulative distribution function at minus 1, which is right there.

我在负 1 处评估了累积分布函数，它就在那里。

So this is a cumulative distribution function for this same-- this is a normal distribution.

所以这是一个累积分布函数——这是一个正态分布。

So what I did is I evaluated the cumulative distribution function at 1, which would be right there.

所以我所做的是我评估了 1 处的累积分布函数，它就在那里。

And the way you get it is with the cumulative distribution function.

你得到它的方法是使用累积分布函数。

And get an intuitive feeling for this, the cumulative distribution function.

并对此进行直观感受，累积分布函数。

So when you go to the cumulative distribution function, you get that right there.

因此，当您转到累积分布函数时，您就可以得到它。

So what the cumulative distribution function is, is essentially-- let me call it the cumulative distribution function-- it's a function of x.

因此， 累积分布函数本质上是— —让我称之为累积分布函数— — 它是 x 的函数。

If you wanted to graph the cumulative distribution function, which I do down here-- let me move this down a little bit.

如果你想绘制累积分布函数图，我在这里做的——让我把它向下移动一点。

And so to actually calculate this, what I do is, I take the cumulative distribution function of this point, and I subtract from that the cumulative distribution function of that point.

所以为了实际计算这个， 我所做的是，我采用这个点的累积分布函数， 然后从中减去那个点的累积分布函数。

And kind of an easy way to do this-- well, not an easy way-- but a function has been defined, called the cumulative distribution function, that is a useful tool for figuring out this area.

这是一种简单的方法——嗯，不是一种简单的方法——但是已经定义了一个函数， 称为累积分布函数， 它是计算该区域的有用工具。