I am getting "Chi-squared approximation may be incorrect in:
chisq.test(x)" with the data bleow.
Frequency distribution of number of male offspring in families of size 5.
Number of Male Offspring N
0 518
1 2245
2 4621
3 4753
4 2476
5 549
Total 15,162
> x=matrix(c(0,1,2,3,4,5,518,2245,4621,4753,2476,549), ncol=2)
> x
[,1] [,2]
[1,] 0 518
[2,] 1 2245
[3,] 2 4621
[4,] 3 4753
[5,] 4 2476
[6,] 5 549
> chisq.test(x)
Pearson's Chi-squared test
data: x
X-squared = 40.4672, df = 5, p-value = 1.202e-07
Warning message:
Chi-squared approximation may be incorrect in: chisq.test(x)
Does the warning mean that chisq.test(x) can't be used for this data.
If chisq.test(x) can't be used for this data, which test is to be used?
Pls advise.
thx
ej
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