I have the following data:
> activitiesforall2 ACTIVITY NAME chasing eating moving Artur 19 22 49 Ingeborg 1 35 19 Irma 3 51 34 Johannes 6 7 13
And did a Chi² and got:
> chisq.test(activitiesforall2) Pearson's Chi-squared test data: activitiesforall2 X-squared = 42.44, df = 6, p-value = 1.505e-07 Warning message: In chisq.test(activitiesforall2) : Chi-squared approximation may be incorrect
So as far as I know, expected values are calculated for independence, hence they are all the same and should be above 5.
So is there another criteria that would trigger that warning message?
I've tried to find out myself, but didn't find any. In his statistical lecture, a professor of my university said, that another criteria would be N>20. I couldn't find proof of that in the internet and nevertheless would be observed in by data.
I also read that Chi² shouldn't be done with relative data (percentages). But that also is observed.
Any help would be nice. =)