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  "body": "\n## Summary\n\nStratified sampling divides a finite population into disjoint groups, the strata, and draws a separate sample from each stratum.\nPopulation quantities are then estimated by combining the stratum estimates with weights equal to the stratum shares.\nWhen the strata are internally homogeneous, this gives more precise estimates than a [[simple random sample|Y0PTCJBPEA]] of the same total size.\n\n## Explanations\n\n### L1 human\n\nTo estimate the average income in a country, one can first split the country into regions and then survey some people in each region.\nThis guarantees that every region is represented, which a purely random draw might fail to do by bad luck.\nThe regional averages are then combined, each weighted by the share of the population living there.\nIf people within a region are similar, the combined estimate is much more accurate.\n",
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