Sampling error is the difference between the sample value of a statistic and its true population value.

Name: Sampling error is the difference between the sample value of a statistic and its true population value.
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Sampling error is a real difference between the sample statistic and its true population value due to random chance, sampling bias, or other factors. It is a fundamental concept in statistics and affects the accuracy and reliability of inferential statistics.

Sampling Error Is the Difference Between the Sample Value of a Statistic