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Sampling (statistics)
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In probability theory and statistics, sampling refers to the selection of individuals from a population of interest (or the collection of data on those individuals).
Methods of statistical sampling include:
- simple random sampling
- systematic sampling[?]
- stratified sampling
- cluster sampling
- multistage sampling
These are all examples of probability sampling[?], or random sampling[?], in which the probability of getting any particular sample[?] may be calculated based on a probability model[?]. A sampling method that does not meet this criterion is called nonprobability sampling[?].
An example of nonprobability sampling[?] is convenience sampling[?], in which members of the population are chosen based on their relative ease of access.
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