A sampling error is a variance between a sample statistic and a population parameter. Even when using a randomly chosen sample, sampling mistakes might still occur. This is due to the random samples differing from the population in terms of numerical quantities like means and standard deviations. Since the goal of a scientific study is to generalize sample results to the population, a low sampling error is preferred. By increasing the sample size, sampling error may be minimized.
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