What is stratified sampling, how it is performed?

Question

Accepted Answer

Stratified sampling is a sampling technique where the population is divided into homogeneous groups and a sample is taken from each group.

Stratified sampling is used to ensure that the sample represents the characteristics of the population.
First, the population is divided into mutually exclusive and exhaustive groups called strata.
Then, a random sample is taken from each stratum based on its proportion to the population.
This technique is useful when the population has distinct subgroups with different characteristics.
For example, in a survey about customer satisfaction in a restaurant, the population can be divided into strata based on age groups (e.g., 18-25, 26-35, 36-45, etc.), and a sample is taken from each age group.

Accepted Answer

Stratified sampling is a method of obtaining a representative sample from a population that researchers have divided into relatively similar subpopulations (strata). Researchers use stratified sampling to ensure specific subgroups are present in their sample. It also helps them obtain precise estimates of each group’s characteristics. Many surveys use this method to understand differences between subpopulations better. Stratified sampling is also known as stratified random sampling.

What is stratified sampling, how it is performed?

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