GIGAMIND

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108 Data Analysis
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108.30.10.10.10 Data Analysis - Stratified sampling

Stratified sampling

Stratified sampling is a statistical survey method to try and smooth out a population. It has similar concepts to both cohort analysis and segmentation.

"In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. The strata should define a partition of the population. That is, it should be collectively exhaustive and mutually exclusive: every element in the population must be assigned to one and only one stratum."
https://en.wikipedia.org/wiki/Stratified_sampling


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