Sampling error is the difference between a statistic computed from a sample and the corresponding population
quantity. For an estimator 
of a parameter 
, the realized sampling error is
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Because it depends on which random sample is drawn, sampling error is a random quantity. Its variability is commonly summarized by the standard error of the estimator. Sampling error is distinct from nonsampling errors such as measurement error, recording mistakes, and nonresponse bias.
