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Sagot :
Answer:
Proportionate Stratified Random Sampling.
Step-by-step explanation:
Sampling is the process of selecting a small group representative of population.
Stratified Random Sampling is used when population is too heterogeneous, ie too dissimilar. This method includes dividing population into various dissimilar groups [stratas] , similar within themselves. Then, sample is taken from each strata (group), making it good representative of population variety.
If sampling structure is such that - sample units are selected from each strata, in proportion to the strata's presence in population - It is called Proportionate Stratified Random Sampling.
Eg : Dividing population in gender (men, women, other) stratas & taking sample from each strata - in proportion to particular gender in population
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