The only way one can eliminate sampling error is to take the whole population as the sample.

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Sampling error is the difference between a population parameter and a statistic computed from a sample of the population. By taking the whole population as the sample, there would be no difference between the parameter and the statistic, and therefore no sampling error. However, it is often not feasible or practical to survey an entire population, which is why sampling methods are used to obtain representative samples.

The Only Way One Can Eliminate Sampling Error Is to Take