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Stratified sampling

The act of dividing a larger population into subgroups, using systematic sampling, then taking a random sample from each subgroup. Random sampling can frequently minimize the sampling error in the population. This in turn increases the precision of any estimation methods used.

You MUST be sure to select relevant variables for the grouping process. The information, or data, must be as accurate as possible.

This is a method of sampling with any given population could vary significantly depending on the grouping and how uniform the grouping is.

Also see Sampling Bias.

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Last Updated: Saturday, 10-Jun-06 15:50:57 PDT