I am somewhat new to survey analysis. I am running a code for survey sample and want to report the standard deviation, I am getting this big numbers in comparison to an unweighted code, I am pretty sure is something easy I am not looking at,can anyone help? proc means data=ms19.ms19 MEAN STD STDERR ALPHA=0.05 CLM;; VAR AGE; RUN ; SAS Output Analysis Variable : AGE Age Mean Std Dev Std Error Lower 95% CL for Mean Upper 95% CL for Mean 45.8475175 13.9318244 0.1087396 45.6343762 46.0606588 proc surveymeans data=ms19.ms19 MEAN RMSSTD STDERR ALPHA=0.05 CLM; strata strat; cluster PSU_ID; weight WEIGHT_PA_IPW_OVERALL; var AGE; run; SAS Output SAS Output Data Summary Number of Strata Number of Clusters Number of Observations Sum of Weights 20 664 16415 23413.2548 Statistics Variable Label Mean Std Error of Mean 95% CL for Mean Std Dev AGE Age 39.867382 0.369889 39.1410467 40.5937167 40229
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