Wikipedia 10K Redux

Reconstructed by Reagle from Starling archive; see blog post for context.

StratifiedSampling

back to SurveySampling

:ClusterSampling -- MultistageSampling -- SimpleRandomSampling

When subpopulations of the population to be studied vary considerably, it is advantageous to sample each subpopulation (stratum) independently and produce a WeightedMean that has less variability than the MeaN of a random sample. There are several possible strategies:

  • Proportionate allocation uses the same SamplingFraction in each of the strata.
  • Optimum allocation takes larger samples in the strata with the greatest variability to generate the least possible sampling variance.

  • DickBeldin