The mean of this Bernoulli distribution is going to be P2.

这个伯努利分布的均值将是 P2。

Now with this definition of this-- and this is the most general definition of a Bernoulli Distribution.

现在有了这个定义——这是伯努利分布最一般的定义。

And we've seen this when we first learned about Bernoulli distributions.

当我们第一次了解伯努利分布时，我们已经看到了这一点。

And we saw this many many videos ago when we learned about Bernoulli distributions.

当我们了解伯努利分布时，我们看到了很多很多视频。

And then the variance of this Bernoulli distribution is going to be these two proportions multiplied.

然后这个伯努利分布的方差就是这两个比例的乘积。

To figure out really the formulas for the mean and the variance of a Bernoulli Distribution if we don't have the actual numbers.

如果我们没有实际数字，要真正找出伯努利分布的均值和方差的公式。

And then we'll come up with general formulas for the mean and variance and standard deviation of this distribution, which is actually called the Bernoulli Distribution.

然后我们会得出这个分布的均值、方差和标准差的通用公式，这实际上被称为伯努利分布。

And in that assumption we're going to have to pick a population proportion or a population mean-- we know that for Bernoulli distributions do the same thing.

在那个假设中，我们将不得不选择一个人口比例或一个人口平均数——我们知道对于伯努利分布做同样的事情。

And if you do that with a Bernoulli Distribution, we learned in the video on Bernoulli Distributions, that the mean of this distribution right here is going to be equal to p.

如果你用伯努利分布来做到这一点，我们在伯努利分布的视频中了解到， 这里分布的均值将等于 p。

We have a Bernoulli Distribution right over here, and we know that the mean of this distribution or the expected value of this distribution is actually going to be p.

我们这里有一个伯努利分布，我们知道这个分布的均值或这个分布的期望值实际上是 p。