Confidence Intervals for the Population Mean Tailored to Small Sample Sizes, with Applications to Survey Sampling

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Abstract
The validity of standard confidence intervals constructed in survey sampling is based on the central limit theorem. For small sample sizes, the central limit theorem may give a poor approximation, resulting in confidence intervals that are misleading. We discuss this issue and propose methods for constructing confidence intervals for the population mean tailored to small sample sizes.

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