Post-stratification is a statistical technique used to adjust survey estimates by dividing the sample into subgroups after data collection, allowing for more accurate representations of a population. This method improves the precision of estimates, especially when certain demographic groups are underrepresented in the sample, and it helps reduce bias in survey results.
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