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If a sample is selected from a population, the sample mean is essentially guaranteed to be different from the population mean. in general, the naturally occurring difference between a sample statistic and the corresponding population parameter is called type i error. type ii error. sampling error. inferential error.

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When a sample is selected from a population, the sample mean is essentially almost always different from the population mean. In general, the naturally occurring discrepancy between a sample statistic and the corresponding population parameter is called sampling error. This occurs because the samples taken do not fully represent all of those belonging to the population.

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