We can find out by using the binomial distribution.

我们可以使用二项分布找出答案。

But in the binomial distribution you can kind of view it that way.

二项分布中，可以这样。

This is what we did with the binomial distribution.

这就是我们二项分布中所做的。

So in any binomial distribution this is a probability that you get k successes.

因此，任何二项分布中，这是您获得 k 次成功的概率。

The probability for each value is given by what's called a binomial distribution, which peaks at the most likely outcome.

每个值的概率由所谓的二项式分布给出，该分布最有可能的结果处达峰值。

This would be n, and this would be the probability, if we said that this is a binomial distribution.

这将是n，而这是概率，如果我们说这是一个二项分布的话。

I connected the lines but you see the binomial distribution look something more like this.

我连接了这些线，二项式分布起来更像这样。

This is the binomial distribution, I just plotted these points right here.

这是二项分布，我只是这里绘制了这些点。

It's the simplest case of the binomial distribution.

这是二项分布的最简单情况。

The binomial distribution is a discreet probability distribution.

二项分布是一种离散的概率分布。

“The Cartoon Guide to Statistics” promised readers they would chew over binomial distributions and conditional probability with the same ease with which they enjoyed Spider-Man.

那年一本名叫《统计学卡通指南》的书，承诺可以让读者津津有味地学习二项分布和条件概率，就像阅读《蜘蛛侠》一样轻松愉快。

There's also the binomial distribution and the normal distribution, which is what some people call the Gaussian or the bell curve.

还有二项分布和正态分布，也就是一些人所说的高斯分布或钟形曲线。

Where, in this first one, we'll set up a model for the situation and start by talking about the binomial distribution.

第一个例子中，我们将为这种情况建立一个模型，并首先讨论二项式分布。

Now what I wanted to show you is that the normal distribution approximates the binomial distribution.

现我想告诉的是，正态分布近似于二项分布。

But now, let's prove it to ourselves that this is really true for any a random variable that's described by a binomial distribution.

是现，让我们向自己证明， 这对于任何由二项分布描述的随机变量都是正确的。

So in a binomial distribution what is the probability-- so if I say, what is the probability that X is equal to k?

那么二项分布中， 概率是多少——所以如果我说，X 等于 k ​​的概率是多少？

This actually wouldn't be that bad of an approximation where you have 60 intervals and you say this is a binomial distribution.

这实际上不会是一个很差的近似，当有60个区间，并且说这是一个二项分布时。

In this model where we model it as a binomial distribution, what happens if more than one car passes in an hour?

这个将情况建模为二项分布的模型中，如果一小时内有多于一辆车通过会发生什么？

If you actually then said, oh, this is a binomial distribution, so the probability that our random variable equals some given value, k.

如果确实接着说， 哦， 这是一个二项分布，那么我们的随机变量等于某个特定值k的概率。

And think a lot about how it relates to the binomial distribution.

并仔细考虑它与二项分布的关系。