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Sati [7]
3 years ago
6

If a sample is selected from a population, the sample mean is essentially guaranteed to be different from the population mean. i

n 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.
Mathematics
1 answer:
NeX [460]3 years ago
7 0
<span>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.</span>
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