Stratified random sampling is based on a subdivision of the sample framework into strata with the help of an observable variable that separates them. After forming the strata, each individual is located in one and only one stratum. The sample is established by selecting a certain number of individuals in each stratum, guaranteeing a contribution of each stratum in the information obtained.
The best sampling method, in this case, is Stratified Random.
