Stratified sampling is a sampling method in which a population is partitioned into nonoverlapping groups called strata and a probability sample is drawn separately from each stratum. Strata are normally chosen to be internally homogeneous with respect to variables related to the quantity being estimated.
Stratified Sampling
See also
Cluster Sampling, Population, Sample, Sampling, Simple Random SampleExplore with Wolfram|Alpha
References
Cochran, W. G. Sampling Techniques, 3rd ed. New York: Wiley, 1977.Cite this as:
Weisstein, Eric W. "Stratified Sampling." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/StratifiedSampling.html