Sampling Error

What is a 'Sampling Error'

A sampling error is a statistical error to which an analyst exposes a model simply because he or she is working with sample data rather than population or census data. Using sample data presents the risk that results found in an analysis do not represent the results that would be obtained from using data involving the entire population from which the sample was derived.

BREAKING DOWN 'Sampling Error'

The use of a sample relative to an entire population is often necessary for practical and/or monetary reasons. Although there are likely to be some differences between sample analysis results and population analysis results, the degree to which these can differ is not expected to be substantial.

Methods of reducing sampling error include increasing the sample size and ensuring that the sample adequately represents the entire population.

RELATED TERMS
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