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Summary
| Description |
English: You take a stratified random sample by first dividing the population into homogeneous (similar within themselves) groups (strata) which are distinct from each other ie. Group 1 is different than Groups 2. Then choose a separate SRS (Simple Random Sample) from each stratum and combine these SRSs to form the full sample. Stratified Random Sampling is used to yield unbiased samples. |
| Date | |
| Source | Own work |
| Author | Bboxleiter |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 19:53, 14 June 2016 | | 781 × 592 (83 KB) | Bboxleiter | Cross-wiki upload from en.wikipedia.org |
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