CNN posted a whole mess of exit polling data that illustrates how different demographics voted last night. And through my "I teach too many stats classes" lense, I see many examples of chi-square.
I think they work at a conceptual level to clearly illustrate how chi-square looks at people falling into different categories, then measures whether the distribution of people is by chance or not.
If you actually wanted to test these using chi square, I would suggest you should problem delete the other/no answer column (or else they will all come out as statistical significant, I would wager).
I think they work at a conceptual level to clearly illustrate how chi-square looks at people falling into different categories, then measures whether the distribution of people is by chance or not.
If you actually wanted to test these using chi square, I would suggest you should problem delete the other/no answer column (or else they will all come out as statistical significant, I would wager).
EDIT (11/14/16); Daniel Findley made of video demonstrating how to use Excel to conduct chi-square tests on the marital status data. Check it out here.
Thanks for all your great suggestions. I put together a video based on your recommendations - because of the large sample size, I went into further analysis to show how the p-value changes as the sample changes.. If you have any thoughts/suggestions, I'd welcome any feedback you have.
ReplyDeletehttps://youtu.be/XMMw_TkTytQ
Looks great. I'll share the link with my readers and add it to this post.
DeleteMy only suggestion, and it is a little one, is label each table (is that expected data? Is it modified in some way?).
DeleteGood suggestion, I'll update the associated excel file that can be downloaded.
Delete