Hi there,
I am wanting to test that unemployment rates by race are statistically different from each other. The data is from a weighted labour force survey. The Stata Manual suggests: "For the equivalent of a two-sample t test with sampling weights (pweights), use the svy: mean command with the over() option, and then use lincom." I am using svy:prop with the over option but it does not allow me to stipulate that the samples are independent/unpaired?
I am concerned because my confidence intervals are very large and overlap almost across the entire lower and upper bounds respectively, however the p-values are still 0.05.
Thanks for the help,
Justin
I am wanting to test that unemployment rates by race are statistically different from each other. The data is from a weighted labour force survey. The Stata Manual suggests: "For the equivalent of a two-sample t test with sampling weights (pweights), use the svy: mean command with the over() option, and then use lincom." I am using svy:prop with the over option but it does not allow me to stipulate that the samples are independent/unpaired?
I am concerned because my confidence intervals are very large and overlap almost across the entire lower and upper bounds respectively, however the p-values are still 0.05.
Thanks for the help,
Justin
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