Stratified Sampling
Version 1.0.0 · Updated 2026-07-28
CORE DEFINITION
In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently.
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In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations.
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The population is divided into homogeneous subgroups (strata) based on characteristics relevant to the study (e.g., age, region), and then independent random samples are drawn from each stratum. The mechanism is that when within-stratum variation is small and between-stratum variation exists, stratification can reduce estimation variance and ensure representation of minority groups, making it more efficient than simple random sampling.
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- en.wikipedia.orghttps://en.wikipedia.org/wiki/Stratified_samplingverified
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