Or the central tendency for our y values.

或者我们的 y 值的集中趋势。

Average faces represent the central tendencies of a group.

平均面孔代表了一个群体的中心趋势。

Then we said, OK, this gives us the central tendency.

然后我们说，好的，这给了我们中心趋势。

It's one measure of the central tendency.

这是衡量集中趋势的一种方法。

So the first statistical concept we came up with was the notion of the mean or the central tendency.

所以我们提出的第一个统计概念是均值或集中趋势的概念。

And we learned that that was one way to measure the average or central tendency of a data set.

我们了解到这是衡量数据集平均或集中趋势的一种方法。

The central tendency of a set of numbers.

一组数字的集中趋势。

2 represents the central tendency of this set.

2.2代表这个集合的集中趋势。

And this is maybe a better measurement of the central tendency or of the average of this set of numbers.

这可能是对这组数字的集中趋势或平均值的更好衡量。

Instead of talking about the central tendency, we'll talk about how spread apart things are away from the central tendency.

我们不讨论集中趋势，而是讨论事物如何远离集中趋势。

If you think about the squared distance from some central tendency, and the best central measure we can have of y is the arithmetic mean.

如果你考虑与某种集中趋势的平方距离，我们可以得到的 y 的最佳集中度量是算术平均值。

But in some ways, it is the easiest of all of the measures of central tendency or of average.

但在某些方面，它是所有集中趋势或平均值度量中最简单的。

And in statistics speak, these all can kind of be representative of a data set, or a population's central tendency, or a sample central tendency.

用统计学的话来说，这些都可以代表一个数据集， 或者一个人口的集中趋势， 或者一个样本的集中趋势。

But we're finding that all of the sum of squares from each point to its central tendency within that, but we're going to add them all up.

但是我们发现从每个点到它在其中的集中趋势的所有平方和，但我们要把它们全部加起来。

So we want to see how much of the variation is due to how far each of these data points are from their central tendency, from their respective mean.

所以我们想看看有多少变化是由于这些数据点中的每一个与它们的集中趋势、与它们各自的均值的距离有多远。

We figured out the sum of squares between each data point and its central tendency, its sample mean-- we figured out, and when you totaled it all up, we got 6.

我们算出了每个数据点与其集中趋势之间的平方和，它的样本均值——我们算出了，当你把它们加起来时，我们得到了 6。

So there's a bunch of ways you can actually measure of the central tendency, or the average, of a set of numbers, and you've probably seen these before.

所以有很多方法可以实际衡量一组数字的集中趋势或平均值，您以前可能已经见过这些方法。

Or another way you could think of it is, the mean, although it does measure its central tendency, it's not quite as indicative of all the numbers.

或者你可以想到的另一种方式是，平均值，虽然它确实衡量了它的集中趋势， 但它并不能完全代表所有数字。

That the central tendency or you could say, the population mean, of this random variable, or you could say the expected value of this random variable is exactly 3.

这个随机变量的集中趋势或者你可以说是总体均值，或者你可以说这个随机变量的期望值恰好是 3。

So the mean, and the mode, and the median, that we covered in the first video in this playlist, were all ways of measuring the central tendency of a data set.

因此，我们在此播放列表的第一个视频中介绍的均值、众数和中位数都是衡量数据集集中趋势的方法。