So our significance level is 5%.

所以我们的显着性水平是 5%。

And in this test, like every hypothesis test, we need a significance level.

在这个测试中，就像每个假设测试一样，我们需要一个显着性水平。

That's the significance level that we care about.

这就是我们关心的显着性水平。

And let's say our significance level we care about for whatever reason is 10% or 0.10.

假设我们出于某种原因关心的显着性水平是 10% 或 0.10。

We care about a significance level of 10%.

我们关心 10% 的显着性水平。

So it's smaller probability than our significance level.

所以它的概率小于我们的显着性水平。

But anyway, the significance level is 5%.

但无论如何，显着性水平是 5%。

The significance level, this alpha right here, needs to be 5%.

显着性水平，此处的 alpha，需要为 5%。

And here, we're going to decide for a significance level of 95%.

在这里，我们将决定显着性水平为 95%。

We have a significance level of 5%.

我们的显着性水平为 5%。

Now, that probability threshold, and we've seen this before, is called the significance level, sometimes called alpha.

现在，这个概率阈值， 我们之前已经见过，被称为显着性水平， 有时也称为 alpha。

It's way bigger than our critical F statistic with a 10% significance level.

它比我们具有 10% 显着性水平的关键 F 统计量大得多。

The probability is less than our significance level.

概率小于我们的显着性水平。

And that's because that's what our significance level is.

那是因为这就是我们的显着性水平。

We want to have a significance level of 5%.

我们希望显着性水平为 5%。

So let's say the significance level that we care about, for our hypothesis test, is 10%.

因此，对于我们的假设检验，假设我们关心的显着性水平是 10%。

And we're going to do the hypothesis test with a significance level of 5%.

我们将以 5% 的显着性水平进行假设检验。

So, in order to reject the null hypothesis, that has to be less probable than our significance level.

因此，为了拒绝原假设，它的可能性必须低于我们的显着性水平。

Now, one thing I forgot to mention, with any hypothesis test, we're going to need some type of significance level.

现在，我忘了提一件事，对于任何假设检验，我们都需要某种显着性水平。

It's not a good fit based on this significance level.

基于这个显着性水平，这不是一个很好的拟合。