This example is taken from Levy and Lemeshow’s Sampling of Populations.
page 250 simple one-stage cluster sampling This example uses the tab9_1c data set.
proc descript data = tab9_1c filetype =sas design = wor means totals; nest _one_ devlpmnt; totcnt m _zero_; weight wt1; var nge65 nvstnrs hhneedvn; setenv colwidth = 13 decwidth = 5; run;
Number of observations read : 40 Weighted count : 100 Denominator degrees of freedom : 1 Variance Estimation Method: Taylor Series (WOR) by: Variable, One. ------------------------------------------------------ | | | | Variable | | One | | | 1 | ------------------------------------------------------ | | | | | NGE65 | Sample Size | 40.00000 | | | Weighted Size | 100.00000 | | | Total | 167.50000 | | | SE Total | 1.93649 | | | Mean | 1.67500 | | | SE Mean | 0.01936 | ------------------------------------------------------ | | | | | NVSTNRS | Sample Size | 40.00000 | | | Weighted Size | 100.00000 | | | Total | 57.50000 | | | SE Total | 1.93649 | | | Mean | 0.57500 | | | SE Mean | 0.01936 | ------------------------------------------------------ | | | | | HHNEEDVN | Sample Size | 40.00000 | | | Weighted Size | 100.00000 | | | Total | 52.50000 | | | SE Total | 1.93649 | | | Mean | 0.52500 | | | SE Mean | 0.01936 | ------------------------------------------------------ proc ratio data = tab9_1c filetype = sas design = wor; nest _one_ devlpmnt; totcnt M _zero_; weight wt1; numer nvstnrs; denom nge65; setenv colwidth = 13 decwidth = 5; run;
Number of observations read : 40 Weighted count : 100 Denominator degrees of freedom : 1 Variance Estimation Method: Taylor Series (WOR) by: Variable, One. ------------------------------------------------------ | | | | Variable | | One | | | 1 | ------------------------------------------------------ | | | | | NVSTNRS/NGE65 | Sample Size | 40.00000 | | | Weighted Size | 100.00000 | | | Weighted X-Sum | 167.50000 | | | Weighted Y-Sum | 57.50000 | | | Ratio Est. | 0.34328 | | | SE Ratio | 0.00759 | ------------------------------------------------------
This example is taken from Lehtonen and Pahkinen’s Practical Methods for Design and Analysis of Complex Surveys.
page 83 Table 3.6 Estimates from a one-stage CLU sample (n = 8); the Province’91 population.
data page83; input id str clu wt ue91 lab91; fpc = 32; datalines; 1 1 2 4 666 6016 2 1 2 4 528 3818 3 1 2 4 760 5919 4 1 2 4 187 1448 5 1 8 4 129 927 6 1 8 4 128 819 7 1 8 4 331 2543 8 1 8 4 568 4011 ; run; proc descript data = page83 filetype = sas design = wor; weight wt; nest _one_ clu; var ue91; totcnt fpc _zero_; print total setotal deffmean defftotal; run;
Number of observations read : 8 Weighted count : 32 Denominator degrees of freedom : 1 Variance Estimation Method: Taylor Series (WOR) by: Variable, One. ----------------------------------------------------- | | | | Variable | | One | | | 1 | ----------------------------------------------------- | | | | | UE91 | Total | 13188.00 | | | SE Total | 3814.89 | | | DEFF Mean #4 | 1.80 | | | DEFF Total #4 | 1.80 | -----------------------------------------------------
proc ratio data = page83 filetype = sas design = wor; weight wt; nest _one_ clu; totcnt fpc _zero_; numer ue91; denom lab91; run;
Number of observations read : 8 Weighted count : 32 Denominator degrees of freedom : 1 Variance Estimation Method: Taylor Series (WOR) by: Variable, One. --------------------------------------------------- | | | | Variable | | One | | | 1 | --------------------------------------------------- | | | | | UE91/LAB91 | Sample Size | 8 | | | Weighted Size | 32.00 | | | Weighted X-Sum | 102004.00 | | | Weighted Y-Sum | 13188.00 | | | Ratio Est. | 0.13 | | | SE Ratio | 0.01 | ---------------------------------------------------
proc descript data = page83 filetype = sas design = wor; weight wt; nest _one_ clu; var ue91; totcnt fpc _zero_ ; percentile / median; run;
Cannot extrapolate to compute confidence limit for 50.00th percentile. Generating a missing value. Cannot extrapolate to compute confidence limit for 50.00th percentile. Generating a missing value. Number of observations read : 8 Weighted count : 32 Denominator degrees of freedom : 1 Variance Estimation Method: Taylor Series (WOR) by: Variable, One, Percentiles. for: Variable = UE91. ----------------------------------------------------------------------------------- One Sample Weighted Lower 95% Upper 95% Percentiles Size Size Quantile Limit Limit ----------------------------------------------------------------------------------- 1 50.00 8 32.00 331.00 . . ----------------------------------------------------------------------------------- --------------------------------- One SE Percentiles Quantile --------------------------------- 1 50.00 . ---------------------------------