Transcription of mean — Estimate means - Stata
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Estimate meansDescriptionQuick startMenuSyntaxOptionsRemarks and examplesStored resultsMethods and formulasReferencesAlso seeDescriptionmeanproduces estimates of means , along with standard startMean, standard error, and 95% confidence interval forv1mean v1 Also compute statistics forv2mean v1 v2As above, but for each level of categorical variablecatvar1mean v1 v2, over(catvar1)Weighting by probability weightwvarmean v1 v2 [pweight=wvar]Population mean usingsvysetdatasvy: mean v3 Subpopulation means for each level of categorical variablecatvar2usingsvysetdatasvy: mean v3, over(catvar2)Test equality of two subpopulation meanssvy: mean v3, over(catvar2)test = tables, and tests>Summary and descriptive statistics>Means12 mean Estimate meansSyntaxmeanvarlist[if] [in] [weight] [,options]optionsDescriptionModelstdize( varname)variable identifying strata for standardizationstdweight(varname)weight variable for standardizationnostdrescaledo not rescale the standard weight variableif/in/overover(varlisto)group over subpopulations defined byvarlistoSE/Clustervce(vcetype)vcetypem
mean— Estimate means 5 Example 3: standardized means Suppose that we collected the blood pressure data fromexample 2of[R] dstdize, and we wish toobtain standardized high blood pressure rates for each city in 1990 and 1992, using, as the standard,
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