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A stratified random sample is a statistical procedure that takes multiple random samplings from different subsets, or "strata", of the population. This is more complicated than a simple random ...
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Simple Random Sampling: 6 Basic Steps With ExamplesWhat Is a Simple Random Sample? A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. A simple random sample ...
Therefore, a stratified sampling strategy will ensure that members from each subgroup are included in the data analysis. Simple random and stratified random samples are statistical measurement tools.
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Stratified Random Sampling: Advantages and DisadvantagesHowever, statistical methods allow for inferences about a population by analyzing the results of a smaller sample extracted from that population. Stratified random sampling is one way of doing this.
If no other sources are available to measure certain variables of a target population, Statistics Netherlands often uses a random sample, i.e. a sample of units from the population drawn in accordance ...
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