Sampling error is a kind of experimental error that occurs when statistical characteristics of a population are estimated from a sample.
For example, the difference between a population mean and a sample mean is referred to as sampling error.
Scientists can reduce sampling error by taking observations from population rather than just a subset of the population.
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