00:01
So here we have to set up a hypothesis test, right? we have a sample of 140.
00:07
And we have, we know that the national average is equal to 40%.
00:16
And we know that our sample average here is equal to 45%.
00:24
So first of all, there's some bad statistical practice being done here.
00:29
What you should do is choose hypotheses before you collect data, right? this is what the science is all about.
00:39
If you get your data first, then figure out what you're trying to accomplish.
00:45
This is not science, right? it is a malpractice scientifically.
00:50
So let's ignore that because i think that's not really what they're getting at.
00:53
But you know, you set up your hypotheses, then gather the data, right? that's the scientific method.
00:57
But the whole idea of hypothesis testing, to me, the easiest way i think of to remember that is that if you reject null, have a meaningful story.
01:12
This is what hypothesis tests are designed to do, that if you reject the null, that you have a conclusion from the hypothesis test that actually makes a difference, right? so here, what i would do is use this as the null hypothesis...