DEFINITION of 'Sampling Error'
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.
INVESTOPEDIA EXPLAINS '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.

Representative Sample
A subset of a statistical population that accurately reflects ... 
Standard Error
The standard deviation of the sampling distribution of a statistic. ... 
Statistical Significance
A result that is not likely to occur randomly, but rather is ... 
NonSampling Error
A statistical error caused by human error to which a specific ... 
Heteroskedastic
A measure in statistics that refers to the variance of errors ... 
Homoskedastic
A statistics term indicating that the variance of the errors ...

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