Interval estimation is a statistical method used to estimate a range of values within which a population parameter is expected to lie, with a certain level of confidence. This technique provides a more informative measure than point estimation by allowing for uncertainty and variability in sample data, and it relates closely to concepts of unbiasedness and consistency, as a reliable interval estimate should not only capture the true parameter but also converge as sample size increases.
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