The method that he chooses to select his sample is Stratified Sampling.
In Stratified, the population is divided into subpopulations and then the same sampling is applied to each region or subpopulation.
The ability to obtain a sample population that most accurately represents the overall population being investigated while ensuring that each subgroup of interest is represented makes stratified random sampling one popular technique employed by researchers. Researchers use stratified sampling to ensure that specific subgroups are represented in the sample. It also helps in the precise evaluation of each group's characteristics. This technique is often used in surveys to better understand disparities between subpopulations.
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