00:02
Okay, so here's our data for our kai square test.
00:08
And since they tell us that we want to test for a relationship, then that means that this is going to be kai square for independence.
00:31
And so that means our, whoops, spelling error.
00:36
Good thing we got that okay independence okay so our null hypothesis can be written one of two ways it can say there is not an association between um political view and oh what is that is that like the answers an opinion okay so this would be opinion okay, so there is not an association between political view and opinion, or you can say political view and opinion are independent.
01:31
Okay.
01:32
And then for your alternative, you would say there is an association between political view and opinion or political view and opinion are not independent.
01:45
Basically, what you should be getting at, your null hypothesis is no relationship, and your alternative is that there is a relationship.
02:05
And that's always how you set those up.
02:07
Now, for your degrees of freedom, you do the rows minus one times the columns minus one.
02:13
So three rows and three columns.
02:24
That equals two times two, so your degrees of freedom are going to be four.
02:29
So how do we calculate the test value and the statistic? well, the easiest way is to do it on your ti -84 calculator.
02:44
You can go to stat and test, and then you want to pick the one that says kai squared test.
02:58
Now, in order to use that, you have to set up a matrix.
03:03
And so if you don't know how to set up a matrix, the matrix is second, and then you push this little button, x to the negative one.
03:16
And that gives you a matrix...