Sample (statistics) and Sampling (statistics)

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Difference between Sample (statistics) and Sampling (statistics)

Sample (statistics) vs. Sampling (statistics)

In statistics and quantitative research methodology, a data sample is a set of data collected and/or selected from a statistical population by a defined procedure. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population.

Cluster sampling

Cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population.

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Convenience sampling

Convenience sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being drawn from that part of the population that is close to hand.

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Nonprobability sampling

Sampling is the use of a subset of the population to represent the whole population or to inform about (social) processes that are meaningful beyond the particular cases, individuals or sites studied.

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Probability distribution

In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

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Quota sampling

Quota sampling is a method for selecting survey participants that is a non-probabilistic version of stratified sampling.

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Replication (statistics)

In engineering, science, and statistics, replication is the repetition of an experimental condition so that the variability associated with the phenomenon can be estimated.

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Sample (statistics)

In statistics and quantitative research methodology, a data sample is a set of data collected and/or selected from a statistical population by a defined procedure.

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Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population.

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Sampling bias

In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included than others.

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Simple random sample

In statistics, a simple random sample is a subset of individuals (a sample) chosen from a larger set (a population).

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Snowball sampling

In sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling) is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances.

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Statistical population

In statistics, a population is a set of similar items or events which is of interest for some question or experiment.

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Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

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Stratified sampling

In statistics, stratified sampling is a method of sampling from a population.

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Survey sampling

In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey.

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Systematic sampling

Systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame.

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William Gemmell Cochran

William Gemmell Cochran (15 July 1909 – 29 March 1980) was a prominent statistician.

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