Sample (statistics)

Sample (statistics)

A Sample (pronounced: /ˈsam.pəl/) in Statistics is a subset of individuals or observations from a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations.

Etymology

The term 'Sample' in the context of statistics, originates from the Old French 'esample', which means 'model' or 'pattern'. It was later adopted into Middle English as 'sample'.

Related Terms

• Population: In statistics, a population is the entire pool from which a statistical sample is drawn. A population may refer to an entire group of people, objects, events, hospital visits, or measurements.
• Sampling: The process of selecting a sample.
• Sample Size: The number of observations in a sample.
• Sampling Error: The error caused by observing a sample instead of the whole population.
• Sample Space: In statistics, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment.
• Sample Distribution: A probability distribution of a statistic obtained through a large number of samples drawn from a specific population.

See Also

• Statistical Inference
• Descriptive Statistics
• Inferential Statistics
• Statistical Hypothesis Testing

External links

• Medical encyclopedia article on Sample (statistics)
• Wikipedia's article - Sample (statistics)

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