Respuesta :
Answer:
C) Stratified sampling
Explanation:
Stratified sampling: This is one of the probability sampling technique in which the researcher tends to divides a particular population that is taken for the researcher purpose into various groups or strata, and after dividing the population, the researcher randomly finally selects the participants from those groups or strata and being analyzed later on. Further, the group is taken for study is through the random sampling technique.
Advantage:
1. It provides great precision.
2. The study group is small, hence cost-effective.
Answer:
Stratified sampling
Explanation:
It is a type of sampling method that has been used in the research method. In stratified sampling, the researcher divides the population into subgroups called strata. Then simple random sampling has been done with all the subgroups. It has many advantages with simple random sampling.
For example, stratified random sampling, it is possible to reduce the sample size to target the given criteria. It is also done to increase the sample size according to the criteria.