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单词 Distribution,Binomial
例句
原声例句
TED-Ed(视频版)

We can find out by using the binomial distribution.

我们可以使用二项分布找出答案。

可汗学院:统计学(视频版)

You would actually get a binomial distribution where you'd get a bunch of bars like that.

你实际上会得到一个二项分布,在那里你会得到一堆这样的条形图。

可汗学院:统计学(视频版)

And why this is called the binomial distribution.

以及为什么这被称为二项分布。

可汗学院:统计学(视频版)

So this is why it's called a binomial distribution.

所以这就是它被称为二项分布的原因。

可汗学院:统计学(视频版)

Why is this called a binomial distribution?

为什么这被称为二项分布?

可汗学院:统计学(视频版)

What I have just drawn is a binomial probability distribution.

我刚才画的是二项式概率分布。

TED-Ed(视频版)

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,该分布在最有可能的结果处达到峰值。

可汗学院:统计学(视频版)

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

如果我们说这是一个二项分布,这就是 n,这就是概率。

可汗学院:统计学(视频版)

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

这是二项分布,我只是在这里绘制了这些点。

可汗学院:统计学(视频版)

It isn't true for any random variable, X. Only true for random variable, X, whose probability distribution is the binomial distribution.

它不适用于任何随机变量 X。仅适用于概率分布为二项分布的随机变量 X。

可汗学院:统计学(视频版)

So you could literally look at every combination of getting 150 households from this, and you would actually get a binomial distribution.

所以你可以从字面上查看从中得到 150 个家庭的每一个组合,你实际上会得到一个二项式分布。

可汗学院:统计学(视频版)

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

实际上,如果你有 60 个间隔并且你说这是一个二项分布,那么近似值并没有那么糟糕。

可汗学院:统计学(视频版)

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

现在我想告诉你的是,正态分布近似于二项分布。

可汗学院:统计学(视频版)

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

如果你真的说, 哦,这是一个二项分布,所以我们的随机变量等于某个给定值 k 的概率。

可汗学院:统计学(视频版)

And I calculate this probability -- I should have drawn maybe a line here -- I calculate this using the binomial distribution.

我计算了这个概率——我应该在这里画一条线——我用二项分布计算了这个。

可汗学院:统计学(视频版)

So if this is a binomial distribution then this lambda would be equal to the number of trials times the probability of success per trial.

因此,如果这是一个二项分布,那么这个 lambda 将等于试验次数乘以每次试验成功的概率。

可汗学院:统计学(视频版)

But it's neat to know that it really is just the binomial distribution and the binomial distribution really did come from kind of the common sense of flipping coins.

但很高兴知道它确实只是二项分布,而二项分布确实来自抛硬币的常识。

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