Sampling error refers to the difference between the sample and the population that exists only because of the observations that happened to be selected for the sample.

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Sampling error occurs due to the fact that the sample is only a portion of the population, and therefore may not be entirely representative of the population as a whole. This can lead to differences between the sample and population that are solely a result of chance or random variation.

Sampling Error Refers to the Difference Between the Sample and the Population