00:01
We are looking at a high squared distribution.
00:05
So this is a right skewed distribution.
00:13
Here, the degrees of freedom are three.
00:17
And we have a test statistic, 6 .25.
00:25
Now, they have marked that for us on this curve.
00:28
So here is 6 .25.
00:30
And they told us that the shaded area above it is 0 .1.
00:35
What would we do if we had a level of significance of 5%.
00:40
So when you're looking at a hypothesis test, you have your null hypothesis, which represents no change, no difference.
00:49
In this case, it would be something like no difference between the population means or a distribution follows the expected proportion and any difference we see is not significant, something like that.
01:02
So you assume there's no difference and then you look at your sample data.
01:05
And there's a difference in your sample data.
01:07
So you want to know, could it be that the differences we see in the sample are just sampling error? they're just purely down to chance...