What is stratified sampling (probability sampling)?
Understand the Problem
The question is explaining the concept of stratified sampling in probability sampling, detailing its definition, methodology, and applications.
Answer
Stratified sampling divides the population into subgroups (strata) and samples each randomly.
Stratified sampling divides the population into distinct subgroups (strata) and performs random sampling within each stratum.
Answer for screen readers
Stratified sampling divides the population into distinct subgroups (strata) and performs random sampling within each stratum.
More Information
Stratified sampling ensures each subgroup is represented in the final sample, improving the precision and reliability of statistical estimates.
Sources
- What is Stratified Random Sampling? | Simply Psychology - simplypsychology.org
- Stratified Random Sampling: A Full Guide - Dovetail - dovetail.com
- How Stratified Random Sampling Works, With Examples - Investopedia - investopedia.com
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