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The following PROC SURVEYSELECT statements select a probability sample of customers from the Customers data set according to the stratified sample design: The STRATA statement names the stratification variables State and Type. In the PROC SURVEYSELECT statement, the METHOD=SRS option specifies simple random sampling. Suppose that the sample of students described in the previous section was actually selected by using stratified random sampling. In stratified sampling, the study also known as PPS (proportional probability sampling) in SAS. Equal probability Non-equal Probability Sampling. Simple Random. Convenience. Stratified. The first touches on three fundamental random sampling techniques: (1) . Cochran illustrates scenarios where the sample could behave like a stratified or . although implementing different methods in SAS will require multiple runs to PROC To select a sample with PROC SURVEYSELECT, you input a SAS data set that con- tains the sampling . random sampling without stratification. In the second That is, in this section, we'll focus on ways of using SAS to obtain a stratified random sample, in which a subset of observations are selected randomly from each Stratified random sampling occurs when the population is divided into groups, or strata, according to selected variables (e.g., gender, income) and a simple random sample is selected from each group. SAS FAQ. Sometimes you may want to take a random sample of your data, but you want to respect the stratification that was used when the data set was created. Proc SURVEYSELECT is a very useful SAS/STAT procedure for taking samples This has wide ranging applications including selecting a random sample of
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