And based on what we know, are smartwatches and other similar devices accurate calorie estimators?

根据我们所知道的，智能手表和其他类似的设备是准确的卡路里估算器吗?

We are just trying to find our best estimator for it.

我们只是想为它找到最好的估计量。

So we can get the best estimator of the true variance.

所以我们可以获得真实方差的最佳估计量。

And if you want an unbiased estimator, you divide by n minus 1.

如果你想要一个无偏估计量，你可以除以 n 减 1。

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。

It actually turns out that this is not an unbiased estimator for this.

事实上，这并不是一个无偏估计量。

It became a little bit more loosey-goosey once I went from the exact standard deviation of the sampling distribution to an estimator for it.

一旦我从抽样分布的精确标准差转向它的估计量，它就变得有点松散了。

The results of the three estimators all showed that peer rejection played a mediating role between the paternal authoritarian parenting style with respect to ADHD symptoms.

三个估计量的结果均表明， 同伴排斥在父亲专制教养方式与 ADHD 症状之间起中介作用。

So we could re-write this, so we could say that we are confident because we are really using an estimator to get this value here.

所以我们可以重写这个，所以我们可以说我们有信心， 因为我们真的在使用估算器来获得这个值。

And then one day he stumbled across this blog post from Shipt's engineering team about this new tool they were developing called a " Shopping time estimator." LULU: Okay.

BECCA：有一天，他偶然发现了 Shipt 工程团队的一篇博客文章，介绍了他们正在开发的一种新工具，称为“购物时间估算器”。露露：好的。

In order for this to be the best estimator of that, and I gave you the intuition of why many, many videos ago, we divide by 100 minus 1 or 99.

为了让它成为最好的估计器，我给了你为什么很多很多视频之前的直觉， 我们除以 100 减 1 或 99。

Because this is our best estimator for this standard deviation, and if we divide it by 10, we will have our best estimator for the standard deviation of the sampling distribution of the sampling mean.

因为这是我们对这个标准差的最佳估计量，如果我们将它除以 10，我们将得到我们对抽样均值的抽样分布的标准差的最佳估计量。

We're reasonably confident that it's about 95% because we're using this estimator that came out of our sample, and if the sample is really skewed this is going to be a really weird number.

我们有理由相信它大约是 95%，因为我们使用的是从样本中得出的估计量，如果样本真的有偏差，这将是一个非常奇怪的数字。

Let's sit out on that curb and measure what this variable is over a bunch of hours and then average it up, and that's going to be a pretty good estimator for the actual mean of our population.

让我们坐在路边，测量这个变量在几个小时内的变化，然后取平均值，这将是我们人口实际平均值的一个很好的估计。