Chi Square Test Goodness of Fit Test with Excel and Google Sheets + Chi-Square p-value

[@AngieTeaches]

I also have a video for the Chi Square Test of Independence (with a contingency table) kzbin.info/www/bejne/gYiUnYVpZr2jirM. Thanks for watching!!

[@user-td5bz2tf5o]

Thank you.

[@AngieTeaches]

You're welcome!

[@duykhoi1402]

Thank you. very informative steps.

[@AngieTeaches]

You are so welcome!

[@facundopucill7957]

Thanks!

[@AngieTeaches]

You are very welcome, Facundo!

[@phantomlegend211]

Sorry for my lack of understanding but if I may ask, say I have multiple questions in the survey I'll have to conduct a Chi square on every single one of them?

[@AngieTeaches]

The Chi Square checks for a relationship between 2 variables. For example, Is “gender” related to “screen time”. Conduct a chi square test for each pair of variables you’re analyzing. Hope this helps!

[@ranjeettate8676]

It is clear that the chi-square test for a 2D array of data does not assume a uniform distribution. Is the chi-square test (for a single variable) valid for a non-uniform expected distribution? E.g. for a cohort of members all of whom joined on a specific date, I have data for the number who dropped out each week over the subsequent weeks - to simplify things until there are no cohort members left. My hypothesis is that this exponential decay (I am looking for deviations form it - e.g. that the drop out rate peaks in the third week). I can do a regression to get the time constant, can I use this to build the "expected" data and chi-square test against it? And then, if the p-value if smaller than something, so I can reject the null hypothesis, look for elements of the chi-square array which are large?

[@AngieTeaches]

That's a great question. This video from Lis Wilson may help kzbin.info/www/bejne/jpqZiIiXer6dZrssi=nh83Y1zHaMb4pnvn