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单词 Distribution,Normal
例句
原声例句
双语版 TED-Ed 演讲精选

Many human traits, like height, follow a normal distribution.

许多人类特质,例如身高,就符合常态分布。

双语版 TED-Ed 演讲精选

What makes the distribution normal is that it follows this curved shape.

分布普不普通,就取决于其是否为钟型曲线。

可汗学院:统计学(视频版)

So this is going to be a normal distribution.

所以这将是一个正态分布。

可汗学院:统计学(视频版)

And we know that that is going to be a normal distribution.

我们知道这将是正态分布。

可汗学院:统计学(视频版)

We're going to get some normal distribution.

我们将获得一些正态分布。

可汗学院:统计学(视频版)

So this distribution, once again, we don't know whether it's a normal distribution or not.

所以这个分布,再一次,我们不知道它是否是正态分布。

可汗学院:统计学(视频版)

So it still won't be a normal distribution when n is equal to 2.

所以当 n 等于 2 时,它仍然不是正态分布。

可汗学院:统计学(视频版)

So this is a normal distribution right over there.

所以这是那边的正态分布。

可汗学院:统计学(视频版)

This is actually going to be a normal distribution regardless of-- this one just has a well-defined standard deviation mean.

这实际上将是一个正态分布,无论如何 - 这个只是有一个明确定义的标准偏差平均值。

可汗学院:统计学(视频版)

So as that approaches infinity, your actual sampling distribution of the sample mean will approach a normal distribution.

因此,当它接近无穷大时,样本均值的实际抽样分布将接近正态分布。

可汗学院:统计学(视频版)

When n is pretty small, it doesn't approach a normal distribution that well.

当 n 非常小时,它不会很好地接近正态分布。

可汗学院:统计学(视频版)

So my guess is it definitely wouldn't be a normal distribution.

所以我的猜测是它肯定不会是正态分布。

可汗学院:统计学(视频版)

For the other choices, explain why you believe they would not follow a normal distribution.

对于其他选择,请解释您认为它们不服从正态分布的原因。

可汗学院:统计学(视频版)

It has a slightly less kurtosis, which means it's closer to being a normal distribution than n is equal to 16.

它的峰度略低,这意味着它比 n 等于 16 更接近于正态分布。

可汗学院:统计学(视频版)

So notice when you took an n of 2, even though we did it 10,000 times, this is not approaching a normal distribution.

所以请注意当你取 n 为 2 时,即使我们做了 10, 000 次, 这也没有接近正态分布。

可汗学院:统计学(视频版)

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。

可汗学院:统计学(视频版)

You take the square root of that thing, and invert it, and that's the normal distribution.

你取那个东西的平方根,然后倒过来,这就是正态分布。

可汗学院:统计学(视频版)

If we have a normal distribution-- let me draw a normal distribution.

如果我们有一个正态分布——让我画一个正态分布。

可汗学院:统计学(视频版)

We're not going to assume it's a normal distribution because this is a bad estimate.

我们不会假设它是正态分布,因为这是一个错误的估计。

可汗学院:统计学(视频版)

But to really make the point that you don't have to have a normal distribution, I like to use crazy ones.

但要真正说明你不必有正态分布,我喜欢使用疯狂的。

随便看

 

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