Dear Statalisters,
I'm working with Stata 9.2.
I'm interested in obtaining the corrected chi square test for a
distribution of two variables from a survey ('p108_n' and 'sexo'), but
limiting the analysis to a selected group of values of p108_n (1 to
5). I've used the subpop command with the following result:
svy, subpop(if p108_n<10):tab p108_n sexo , count nolabel format(%11.1f)
(running tabulate on estimation sample)
Number of strata = 11 Number of obs = 12190
Number of PSUs = 1266 Population size = 12189,962
Subpop. no. of obs = 11733
Subpop. size = 11834,102
Design df = 1255
----------------------------------
| sexo
p108_n | 1 2 Total
----------+-----------------------
1 | 638,8 708,1 1346,9
2 | 581,3 726,2 1307,5
3 | 1968,3 2144,6 4112,9
4 | 2215,6 1926,3 4141,9
5 | 404,2 520,7 924,9
10 | 0,0 0,0 0,0
|
Total | 5808,2 6025,9 11834,1
----------------------------------
Key: weighted counts
Table contains a zero in the marginals.
Statistics cannot be computed.
Is there any way to get the chi square test I need without deleting
the p108_n==10 individuals, I mean, keeping them for the calculation
of the standard errors?
Many thanks.
�ngel Rodr�guez Laso
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