Stratified sampling involves dividing the population into groups and randomly selecting a proportionate number of individuals from each group.
What is the purpose of stratified sampling?
- Researchers frequently employ stratified random sampling when attempting to assess data from various strata or subgroups.
- They can quickly gather a population sample that most accurately reflects the entire population under study thanks to this.
What are the steps of stratified sampling?
- There are seven steps in the creation of a stratified random sample: the population is defined, the appropriate stratification is selected, and the population is listed.
- Choosing your sample size, calculating a proportionate stratification, listing the population according to the selected stratification, and step (d)
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