Stratified Sampling
Definition
Stratified sampling is a sampling method where the population is divided into distinct subgroups (strata) based on certain characteristics. Then, random samples are taken from each stratum proportionally to its size.
Analogy
Imagine you have different flavors of ice cream available at an event. To get an accurate representation of everyone's favorite flavor, you divide people into groups based on age and then randomly select individuals from each group. This way, you ensure that all age groups are represented fairly.
Related terms
Simple Random Sampling: A sampling method where every member of the population has an equal chance of being selected.
Systematic Sampling: Selecting every nth individual from a list after randomly selecting a starting point.
Cluster Sampling: Dividing the population into clusters and randomly selecting entire clusters for inclusion in the sample.
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