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Unformatted text preview: geographic area into primary units. Sampling error The difference between a sample statistic and its corresponding population parameter. If you were to determine the sum of these sampling errors over a large number of samples the result would be very close to zero. This is true because the sample mean is an unbiased estimator of the population mean. Sampling distribution of the sample mean A probability distribution of all possible sample means of a given sample size Central limit theorem If all samples of a particular size are selected from any population, the sampling distribution of the sample mean is approximately a normal distribution. This approximation improves with larger samples. *Most statisticians consider a sample of 30 or more to be large enough for the central limit theorem to be employed...
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This note was uploaded on 01/17/2012 for the course QBA 2302 taught by Professor Dr.lohaka during the Spring '08 term at Baylor.
- Spring '08