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35. Sampling error : That part of the difference between a population value and an estimate thereof, derived from a random sample, due to fact that only a sample of value is observed; as distinct from errors due to imperfect selection, bias in response or estimation, errors of observation and recording, etc. The totality of sampling errors in all possible samples of the same size generates the sampling distribution of the statistic which is being used to estimate the parent values.

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