In computational statistics, stratified sampling is a method of variance reduction.


Name1 Stratification
Target Outcome
Social actors and roles the analyst
Trigger or preceding interaction Determination of the population (of entities)
Interfaces and services Variant descriptions
Inputs and outputs input: a population; output: homogeneous subgroups of the population, with each member included in exactly one subgroup.
Stores and tools Definition of the observed variation.
Other characteristics
Part of
Parts Subgroup definition
Succeeding Interactions Some form of sampling or observation on the population
Action Realm Monitoring & Evaluation
Risks risks
Further reading Stratified Sampling (Wikipedia)

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