00:01
Okay, so we're looking at a kai squared test for independence between two variables.
00:08
A lot of times that's also seen as association.
00:13
So what you're typically given here for this type of test is a two -way table that is taken from one sample.
00:26
That's really the key that can help you determine what type of test you would run.
00:32
If you were given a two -way table that was taken from two samples, and you were looking at one variable with multiple categories across two samples, and you're seeing if there's a difference between those two populations, that is a kai squared test for homogeneity.
00:47
If we're looking for, if there is a association between two variables among one population, that's where the kai squared test for independence comes out.
00:58
And our null hypothesis is that there is no association between whatever variables we're looking at, whatever x and y variables there is.
01:16
So that's option c.
01:18
And then your alternate hypothesis is that there is association between the two...