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 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。

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。

When you actually use the Excel normal distribution function, you say, norm distribution.

当您实际使用 Excel 正态分布函数时，您会说，正态分布。

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。

The probability of getting any x, and it's a class of probability distribution functions.

得到任意x的概率，是一类概率分布函数。

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。

So that's my probability distribution function.

这就是我的概率分布函数。

But that's my discrete probability distribution function.

但那是我的离散概率分布函数。

So let's say I have a discrete probability distribution function.

所以假设我有一个离散的概率分布函数。

And you don't know the probability distribution functions for any of those things.

而且您不知道任何这些事情的概率分布函数。

Because remember it's a continuous distribution function.

因为记住它是一个连续分布函数。

Well, based on how we thought about the probability distribution functions for the discrete random variable, you'd say OK, let's see.

好吧，根据我们对离散随机变量的概率分布函数的看法， 你会说好吧， 让我们看看。

The normal distribution function is a continuous probability distribution so it's a continuous curve.

正态分布函数是连续概率分布，因此它是一条连续曲线。

Now let's say that you had another-- I don't know-- probably distribution function that looks something like this.

现在假设您有另一个——我不知道——可能是看起来像这样的分布函数。

So now I think you can see where the probability distribution function starts to become a little bit more interesting.

所以现在我想你可以看到概率分布函数从哪里开始变得更有趣了。