00:01
Is this p value significant? okay, so we have a level of significance, alpha, of 5%.
00:07
Now, a p value comes from a hypothesis test.
00:11
You have your hypotheses, a null and an alternative.
00:14
And to perform the test, you assume the null hypothesis is true.
00:20
Let's say that the null hypothesis here is that the population mean is 2.
00:26
You say, okay, assume that's true.
00:28
Look at the sampling distribution you would get.
00:30
If you took every sample of a given size, took the means and plotted them out, you'd get something approximately normal, as long as the sample size is reasonably large.
00:40
You say, okay, so this is if the null hypothesis is true, its mean is also two, where would my sample fall on this curve? because i can't see this curve, i see a single sample.
00:50
Where would it fall here? maybe it would fall here.
00:54
It's not two, but it's pretty close.
00:56
Maybe the mean really is two, and this difference is down to sampling error...