In a stratified sample, the population is divided into separate groups according to values of an attribute; each group is randomly sampled separately. For example, you might have an attribute SEX with two values "Male" and "Female"; a stratified sample would be a random sample of all cases where SEX="Male" combined with a random sample of all cases where SEX="Female". In the sample, the two groups will have approximately the same number of members. For information about Stratified samples, see How to Use Stratified Sampling.
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