And we can think of these values as alternative hypotheses.

我们可以将这些值视为替代假设。

And then our alternative hypothesis says no, we do meet the standard.

然后我们的替代假设说不，我们确实符合标准。

And then we have our alternative hypothesis, or alternate hypothesis, that the herbs do something.

然后我们有我们的替代假设，或替代假设，即草药有作用。

We could reject the null hypothesis and go with the alternative hypothesis.

我们可以拒绝零假设并采用备择假设。

Before we do that, let's just define what our null hypothesis and our alternative hypothesis are going to be.

在我们这样做之前，让我们先定义我们的原假设和备择假设是什么。

Our alternative hypothesis is that there is a difference.

我们的替代假设是存在差异。

THOSE unconvinced-and those seeking to unconvince others-of the reality of man-made global warming often point to the changeable behaviour of the sun as an alternative hypothesis.

不相信全球变暖是人为因素造成的和那些企图让别人不相信的人常常会将太阳的易变表现作为假设进行选择。

And if that probability is below some threshold, we will reject the null hypothesis in favor of the alternative hypothesis.

如果该概率低于某个阈值，我们将拒绝原假设而支持备择假设。

And our alternative hypothesis was that the drug just has an effect.

我们的备选假设是药物只是有效果。

So to do our hypothesis test, let's just establish our null hypothesis and our alternative hypothesis.

因此，为了进行我们的假设检验，让我们建立零假设和备择假设。

Now, what you want is an alternative hypothesis.

现在，您想要的是备择假设。

So I'm going to go with the alternative hypothesis.

因此，我将采用备择假设。

And our alternative hypothesis, is what our hypothesis actually is, is that the proportion is greater than 30%.

而我们的替代假设，就是我们的假设实际上是，比例大于 30%。

So at least from my point of view this results seems to favor the alternative hypothesis.

所以至少从我的角度来看，这个结果似乎支持备择假设。

So if that number is still low, if it's still less than 5%, we can feel pretty good about the alternative hypothesis.

所以如果这个数字仍然很低，如果它仍然低于 5%，我们可以对备择假设感觉很好。

We could probably reject the null hypothesis and we'll say well, we kind of believe in the alternative hypothesis.

我们可能会拒绝零假设，我们会说好吧，我们有点相信备择假设。

How do we know whether we should accept the alternative hypothesis or whether we should just default to the null hypothesis because the data isn't convincing?

我们如何知道我们是否应该接受备择假设，或者我们是否应该因为数据不可信而默认原假设？

And then the alternative hypothesis is going to be that it is not correct, that it is not a correct distribution, that I should not feel reasonably OK relying on this.

然后备择假设将是它不正确，它不是正确的分布， 我不应该依赖它感觉合理。

So here it will only be one of the tails that we could consider when we set our alternative hypothesis like that, that we think it lowers.

所以在这里，当我们像这样设置我们的替代假设时，它只会是我们可以考虑的尾巴之一，我们认为它会降低。