Techniques such as hypothesis testing and confidence intervals rely on probability theory.

假设检验和置信区间等技术依赖于概率论。

Now, our whole goal is to get a 95% confidence interval for that.

现在，我们的整个目标是为此获得 95% 的置信区间。

I actually remember using Brilliant in university because I kept forgetting how confidence intervals worked.

我实际上记得在大学时使用过 Brilliant，因为我一直忘记置信区间是如何工作的。

Or a 95% confidence interval for this mean right over here.

或者这个平均值的 95% 置信区间就在这里。

What we now need to do is actually tackle the confidence interval.

我们现在需要做的实际上是解决置信区间问题。

So the low end of our confidence interval, and I'm running out of space, 1.91 minus 1.21, that's just 0.7.

所以我们的置信区间的低端，我的空间用完了， 1. 91 减去 1. 21，只有 0. 7。

But we're going to try to come up with a 95% confidence interval for that difference.

但我们将尝试得出该差异的 95% 置信区间。

Britain's Office for National Statistics (ONS) has mulled introducing confidence intervals for its estimates-but no one knows quite how wide the bands should be.

英国国家统计局（ONS）已经考虑为其经济预测引入可靠区间，但是没人之间区间宽度应该设置为多少。

We actually need to come up with a 95% confidence interval for P1 minus P2.

实际上，我们需要为 P1 减去 P2 得出一个 95% 的置信区间。

But we still have to come up with our confidence interval.

但我们仍然需要得出我们的置信区间。

Or an interval of-- we have a confidence interval.

或者一个区间——我们有一个置信区间。

Our confidence interval would be this value plus d and this value minus d.

我们的置信区间是这个值加 d 和这个值减去 d。

Or what is a confidence interval of the difference of means?

或者均值差异的置信区间是多少？

But our goal is to get a 95% confidence interval.

但我们的目标是获得 95% 的置信区间。

Summary measures of uncertainty, so that's comparing here confidence intervals, with credible intervals. And the next part of the book, I start off.

对不确定性的测量进行总结 比较置信区间和可信区间 书的下一部分 我开始了。

And what we're going to do in this video is try to come up with a 95% confidence interval for this parameter.

我们在本视频中要做的是尝试为该参数得出一个 95% 的置信区间。

And we want a 95% confidence interval.

我们想要一个 95% 的置信区间。

So what we want to do when we want a confidence interval, we want to be confident.

所以当我们想要一个置信区间时，我们想要做什么，我们想要有信心。

It's very easy to memorize if you do, but this way, you actually see why this confidence interval makes sense.

如果你这样做，就很容易记住，但这样一来，你就会真正明白为什么这个置信区间有意义。

But when we construct it this way, it becomes pretty clear, how do we actually construct the confidence interval?

但是当我们以这种方式构造它时， 就很清楚了，我们实际上是如何构造置信区间的？