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A minimal sufficient statistic is a statistic that captures all the information needed to estimate a parameter of interest from a sample, and it is the simplest form of sufficient statistic that retains this property. It is crucial in reducing data complexity without losing inferential power, making it a fundamental concept in statistical inference.
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