Otherwise, you'll just end up listing the data, one point after another, and this is not a good idea.

否则你最终只是一条条列出数据，而这并不是一个好主意。

I sent you all the data points.

我已将所有数据点发送给您。

And then we have these last three data points.

然后我们有最后三个数据点。

Because there are two data points I had then.

因为我当时有两个数据点。

You know, about 44% of adolescents 12 to 17 years old have been fully vaccinated, so that's one data point.

你知道，12到17岁的青少年中有44%的人已经接种了疫苗，这是一个数据。

We have 10 data points, 10 minus 1 is 9.

我们有 10 个数据点，10 减 1 等于 9。

But we also get, you know, other key data points.

但我们也得到了其他关键数据点。

So let's first put all the data points in.

因此，让我们首先将所有数据点放入。

And here it is: 25,000 data points on a single page.

就是这样：一个页面上有 25,000 个数据点。

To complete one discrete Fourier transform requires multiplying N data points by N different frequency waves.

要完成一次离散傅立叶变换，需要将 N 个数据点乘以 N 个不同频率的波。

And we have three data points again.

我们又得到了三个数据点。

And then we have nine data points here so we'll divide by 9.

然后我们这里有九个数据点，所以我们将除以 9。

You multiply each data point by one and add them all together, in this case, they add to zero.

将每个数据点乘以一并将它们全部相加，在这种情况下，它们相加为零。

And once again, we have four data points.

再一次，我们有四个数据点。

We have 10 data points, which means we have 9 degrees of freedom.

我们有 10 个数据点，这意味着我们有 9 个自由度。

So 9 degrees of freedom for our 10 data points.

所以我们的 10 个数据点有 9 个自由度。

5 plus 3 plus 4 is 12, divided by 3 is 4 because we have three data points.

5 加 3 加 4 是 12，除以 3 是 4，因为我们有三个数据点。

So we have our seven data points.

所以我们有七个数据点。

And that's equal to the sum of all the data points in the sample.

这等于样本中所有数据点的总和。

We're assuming that there are n data points in the population.

我们假设人口中有 n 个数据点。