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In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations.
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Explore the main themes, entities and connections around Stratified sampling. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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population sampling sample stratified random stratum variance total size strata allocation error female data within simple example mean subpopulations survey
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stratified sampling | is a | method of sampling from a population which can be partitioned into subpopulations.In statistical surveys | 0.90 | text |
| Stratified sampling | is a | method of variance reduction when Monte Carlo methods are used to estimate population statistics from a known population | 0.90 | text |
| race or religion | instance of | the researcher would specifically seek to include participants of various minority groups | 0.80 | text |
| based on their proportionality to the total population as mentioned above | instance of | the researcher would specifically seek to include participants of various minority groups | 0.80 | text |
| Stratified sampling | related to Advantages | The | 0.60 | section |
| Stratified sampling | related to Advantages | If | 0.60 | section |
| Stratified sampling | related to Advantages | For | 0.60 | section |
| Stratified sampling | related to Advantages | When | 0.60 | section |
| Stratified sampling | related to Disadvantages | It | 0.60 | section |
| Stratified sampling | related to Disadvantages | Data | 0.60 | section |
| Stratified sampling | related to Disadvantages | If | 0.60 | section |
| Stratified sampling | related to Disadvantages | For | 0.60 | section |
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