Answer :
Answer:
E. Cluster
Explanation:
Cluster sampling is a type of sampling method in which the population under study is divided into different groups known as clusters before simple random samples are selected from each population clusters. The analysis of such population is carried out based on the sampled clusters.
This method is adopted when a researcher does not have access to the whole population under research.
Advantages of cluster sampling.
The research method only needs fewer resources.
The sample under review is feasible.
Note: Cluster sampling is not as accurate as simple or stratified random sampling.
The surveys can be executed by various methods of sampling like cluster sampling, random sampling, systematic and stratified sampling, or convenience sampling.
Cluster sampling
It is method of sampling where whole population is divided into various groups called as cluster. After forming clusters, samples are collected randomly from different clusters. After collecting samples analysis is done on the basis of these samples.
Cluster Sampling method is used when access is limited to a part of population and not to the whole population.
The same kind of sampling is used in the given question and it can be said that the correct option is cluster sampling.
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Cluster sampling is a type of sampling method in which the population under study is divided into different groups known as clusters before simple random samples are selected from each population clusters. The analysis of such population is carried out based on the sampled clusters.
This method is adopted when a researcher does not have access to the whole population under research.
Advantages of cluster sampling.
The research method only needs fewer resources.
The sample under review is feasible.
Note: Cluster sampling is not as accurate as simple or stratified random sampling.