So we will reject the null hypothesis.

所以我们将拒绝原假设。

So we are going to reject the null hypothesis.

所以我们要拒绝原假设。

We say look, we're going to assume that the null hypothesis is true.

我们说看，我们将假设原假设为真。

And if this is more extreme than that, then we will reject our null hypothesis.

如果这个比那个更极端，那么我们将拒绝我们的原假设。

014, they'd rule out the null hypothesis that she can't distinguish the teas.

014，他们会排除她无法区分茶的零假设。

05 or below is considered statistically significant, meaning there's enough evidence to reject the null hypothesis.

05 或以下被认为具有统计显着性，这意味着有足够的证据可以拒绝原假设。

To analyze her choices, we define what's called a null hypothesis: that she can't distinguish the teas.

为了分析她的选择，我们定义了所谓的零假设：她无法区分茶。

We say, well, there's less than a 1% chance of that happening given that the null hypothesis is true.

我们说，假设零假设为真，那么发生这种情况的可能性不到 1%。

Sometimes, you have a null hypothesis: you want to prove that there is not a relation between two things.

有时，您有一个零假设：您想证明两件事之间不存在关系。

Our null hypothesis can be that we don't meet the standards.

我们的原假设可以是我们不符合标准。

So let's just make a null hypothesis.

所以让我们做一个零假设。

“This study will examine every way this journey impacts my body, but my null hypothesis is that there will be improvements to my health due to the increased pressure.”

“这项研究将检查这次旅行对我身体的各种影响，但我的初始假设是，由于压力的增加，我的健康会有所改善。”

Because if the null hypothesis is true there's a 0.5% chance that this could still happen.

因为如果原假设为真，则仍有 0.5% 的可能性会发生这种情况。

Our null hypothesis is that the herbs do nothing.

我们的零假设是草药什么都不做。

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。

We figure out, assuming the null hypothesis, the expected results you would've gotten in each of these cells.

假设零假设，我们计算出您在每个单元格中获得的预期结果。

And because it's so unlikely to get a statistic like that assuming that the null hypothesis is true, we decide to reject the null hypothesis.

并且由于假设原假设为真，不太可能获得这样的统计数据，因此我们决定拒绝原假设。

And if it is really low, then we will reject the null hypothesis.

如果它真的很低，那么我们将拒绝原假设。

That's partly because all a p-value actually tells us is the probability of getting a certain result, assuming the null hypothesis is true.

这部分是因为所有 p 值实际上告诉我们的是获得特定结果的概率，假设原假设为真。

So it's actually not that crazy to get it if you assume the null hypothesis.

所以如果你假设原假设，得到它实际上并不疯狂。