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Sampling (statistics)

in statistics and (including qualitative) research, a term for the selection of data points from a larger population

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 19, 2026
Entity authorityQ49908
Source-derived summary

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. The subset, called a statistical sample (or sample, for short), is meant to reflect the whole population, and statisticians attempt to collect samples that are representative of the population. When sampling, statisticians aim towards collecting an unbiased group, and to do it judiciously.

Sampling has lower costs and faster data collection compared to a census recording data from the entire population (in many cases, collecting the whole population is essentially impossible, like getting sizes of all stars in the universe). Thus, it can provide insights in cases where it is infeasible to measure an entire population.

Each observation measures one or more properties (such as weight, location, color or mass) of independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

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“Sampling (statistics)” enters the record as in statistics and (including qualitative) research, a term for the selection of data points from a larger population. Crown Archives preserves that source wording while asking what Sampling, statistics and including can confirm, complicate or overturn.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current 207-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. Its strongest next move is a source search built around Sampling, statistics and including.
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“Sampling (statistics)” is worth following because a concise public description often conceals a longer documentary argument. Here, Sampling, statistics and including provides the most credible route into that argument.

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Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Sep 19, 2026. The linked authority identifier is Q49908. The Library of Congress control number is sh85117056. None of the 1 selected statements returned an explicit reference.

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This entry incorporates text from Sampling (statistics)” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.