But if the P value's larger, it doesn't.

但是如果 P 值再大一点，那就不行了。

From AjaoSeyi, says, " How best can a statistician explain P value to a non statistician? "

来自 AjaoSeyi，统计学家如何最好地向非统计学家解释 P 值？

And if that P value is pretty high, you know, maybe there was a 40% chance that they would've gotten better even without the treatment, we haven't really proved anything.

如果 P 值非常高，也许即使没有治疗，他们也有 40% 的机会会好转，那么我们什么都没有证明。

The basic idea of a P value is the idea of what is the probability that the thing you just observed would've happened just by pure chance if there was no true effect?

P 值的基本概念是，如果没有真正的影响，你刚刚观察到的事情纯偶然发生的概率是多少？

So if I want the probability of this random variable right here being greater than 2.41, or its p value, we read it right here.

因此，如果我希望这里的这个随机变量的概率大于 2.41 或其 p 值，我们就在这里读取它。

Yeah, but how much more and the P value question would be, what's the probability if we hadn't given any treatment that that same number or more of the people would still have gotten better?

是的，但是会多多少呢，而 P 值的问题会是，如果我们没有进行治疗，那么会有相同人数的人或者更多的人会好转吗？

And so most of these chi-squared-- the reason why we have these weird numbers like this instead of whole numbers or easy-to-read fractions is it is actually driven by the p value.

所以这些卡方中的大部分——我们之所以有这些奇怪的数字，而不是整数或易于阅读的分数，是因为它实际上是由 p 值驱动的。