stratified sampling

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Related to stratified sampling: random sampling, Systematic sampling, Cluster sampling
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Noun1.stratified sampling - the population is divided into subpopulations (strata) and random samples are taken of each stratum
sampling - (statistics) the selection of a suitable sample for study
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References in periodicals archive ?
Stratified sampling entails first dividing the population into non-overlapping subpopulations called strata that together comprise the entire population and then drawing an independent sample from each stratum.
In this connection, a cross sectional study was designed for desired data collection and 600 samples were taken under the Convenience Non-Probability Sampling Procedure, adopted with Stratified sampling method.
For this cross-sectional study, a sample of 223 Hail University students was selected using 5% margin of error, 95% confidence interval according to stratified sampling technique from senior years of four colleges namely, Dentistry, Medicine, Public Health and Preparatory Year.
(32) Medina-Mora et al, Conglomerated two-stage stratified sampling. 1993.
Finally, with regard to the Employee Benefits Security Administration's (EBSA) use of attribute sampling, Tatum concluded that "the allocation method was based on a misunderstanding of stratified sampling and resulted in a disproportionate allocation.
Six complete spikelets were subjected to stratified sampling from 6 sections of the male inflorescence.
Singh and Kumar [19] envisaged a generalized exponential estimator for two auxiliary variables in stratified sampling following Singh et al [20].
The survey was conducted with two sample populations - a total sample size of 263 was covered using a random stratified sampling technique.
The randomization employed a matched pair design with stratified sampling. As part of the evaluation, a common set of student outcomes including social and emotional competence, behavior, academics, and perceptions of school climate were collected across sites.
Descriptive research may use probability sampling which includes simple random, stratified sampling, proportionate stratified sampling and cluster sampling (Shaughnessy et al 2014).