Overview
In stratified sampling, the population is divided into groups (strata) based on shared characteristics (e.g., age, gender, income). A random sample is then taken from each stratum in proportion to its size in the population.
Benefits
- Ensures that all sub-groups are adequately represented.
- Reduces sampling error compared to simple random sampling.
- Allows for more precise estimates for each sub-group.
Use Case
Polling a diverse population to ensure that minority groups' opinions are accurately captured.