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Stratified Random Sampling
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Stratified Random Sampling
Population is divided into separate groups, called Strata
Superior to simple random sampling
Strata must be non overlapping
Used when population is heterogeneous
Criterions used for stratification
- Age
- Gender
- Ethinicity
- Location
- Socioeconomic Status
- Educational Level
- Criterion vary greatly study to study
Sample is selected from each stratum randomly
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- Mind Map on Stratified Random Sampling, created by Stats Coach on 19/03/2019.
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- Stats Coach
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