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单词 sample variance
例句
原声例句
可汗学院:统计学(视频版)

Let's get the calculator out to actually figure out our sample variance.

让我们用计算器实际计算出我们的样本方差。

可汗学院:统计学(视频版)

Now what is my sample variance?

现在我的样本方差是多少?

可汗学院:统计学(视频版)

Now given this sample here, what is my sample mean and my sample variance?

现在给定这个样本,我的样本均值和样本方差是多少?

可汗学院:统计学(视频版)

My sample standard deviation is just going to be the square root of my sample variance.

我的样本标准差只是样本方差的平方根。

可汗学院:统计学(视频版)

Our sample variances for each of these distributions.

我们针对这些分布中的每一个的样本方差。

可汗学院:统计学(视频版)

We can approximate these with our sample variances for each of these distributions.

我们可以用每个分布的样本方差来近似这些。

可汗学院:统计学(视频版)

If you take your sample standard deviation, 4.67 and you square it, you get your sample variance.

如果您取样本标准差 4.67 并将其平方,则得到样本方差。

可汗学院:统计学(视频版)

Plus my sample standard deviation for the control squared, which is the sample variance.

加上我的控制平方样本标准偏差,即样本方差。

可汗学院:统计学(视频版)

Remember, this is a sample variance, and we want to get the best estimator of the real variance of this distribution.

请记住,这是一个样本方差,我们希望获得该分布真实方差的最佳估计值。

可汗学院:统计学(视频版)

So your sample variance, when you do it this way, it might turn out a little bit low.

所以你的样本方差,当你这样做的时候,结果可能会有点低。

可汗学院:统计学(视频版)

So then we would have gotten the sample variance at 9.70.

那么我们就会得到 9.70 的样本方差。

可汗学院:统计学(视频版)

Now let's also figure out our sample variance because we can use it later for building our confidence interval.

现在让我们也算出我们的样本方差,因为我们以后可以用它来建立我们的置信区间。

可汗学院:统计学(视频版)

Sample variance is going to be equal to the sum of my squared distances to the mean divided by my samples minus 1.

样本方差将等于我与均值的平方距离之和除以我的样本减 1​​。

可汗学院:统计学(视频版)

So this is going to be our sample standard deviation one squared, which is the sample variance for that distribution, over 100.

所以这将是我们的样本标准偏差的平方,这是该分布的样本方差, 超过 100。

可汗学院:统计学(视频版)

So our sample variance is-- well, I'll just say 0.246.

所以我们的样本方差是——好吧,我就说 0.246。

可汗学院:统计学(视频版)

And actually this is what some people often refer to, when they talk about sample variance.

事实上,这就是一些人在谈论样本方差时经常提到的。

可汗学院:统计学(视频版)

The variance of a sample, or sample variance, or unbiased sample variance-- and that's why we're going to divide by n minus 1.

样本的方差,或样本方差,或无偏样本方差——这就是我们要除以 n 减 1 的原因。

可汗学院:统计学(视频版)

It is equal to-- it is our sample variance-- I'll write it over here-- our sample variance is equal to 0.246.

它等于——这是我们的样本方差——我会在这里写下来——我们的样本方差等于 0.246。

可汗学院:统计学(视频版)

So we might just say, well, maybe a good way to take the sample variance is, do it the same way.

所以我们可能会说,好吧,也许获取样本方差的一个好方法是, 以同样的方式进行。

可汗学院:统计学(视频版)

Our sample variance here-- so let me draw a sample variance-- we're going to take the weighted sum of the square differences from the mean and divide by this minus 1.

我们这里的样本方差——所以让我画一个样本方差——我们将取平均值的平方差的加权和除以这个负 1。

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