00:01
So for that first one, your null hypothesis would be that there is no association between creativity and the online gaming activity.
00:23
And alternately, you would have there is an association, and then i won't finish, between creativity and online.
00:33
Mind so we know that in order to find all of these values for the expected we take for instance with this first cell we would take 85 times 40 and divide it by 150 and so 85 times 40 divided by 150 the expected value here would be 22 .67 7 and likewise you can do that for all the categories i'll do one more that this next one would be 85 times 50 divided by and then that would be 28 .3 and repeating and i'll finish the first row and this would be 40 85 times 60 divided by 150 and this would be 34 now you can actually figure out what all the rest of these are because they have to add up so this one would be 26 this one would be what 21 .7 about and let's see if that's right that's up to 50 and then this one would be they have to add up to 40 so that is a 22 and so that would end up being 17 .3 basically and then we know that you would calculate your let's see do you have any other information that that you need to find.
01:58
So this is going to be a chi -squared test.
02:03
And we have a 2 by 3 cell.
02:07
So the degrees of freedom is 1 times 2 is 2.
02:11
And when you calculate the chi -squared statistic, taking each of the observed minus the expected squared divided by the expected and then summing all those up for those six cells.
02:21
I'm actually just going to do it with my software.
02:23
Where i have my data stored in matrix a...