Respuesta :
Answer:
The downside is that clusters may not really be homogeneous between them.
Explanation:
Cluster sampling is a probabilistic sampling procedure in which population elements are randomly selected. Naturally by clusters. Cluster sampling helps us when it is impossible or impractical to create a sampling frame of a target population because it is geographically spread, as shown in the question above, and the cost of data collection is relatively high.
The main advantage of this technique is the operational part: selecting a cluster is often easier and cheaper than making a random or systematic sample. Using geographic clusters can represent significant savings in displacement.
The main disadvantage is the risk that clusters are not really homogeneous between them. In the example cited in the question above, it could happen that one of the schools is more prone to more seniors because it is a school with larger classes.
One disadvantage to selecting a cluster sample to investigate the superintendent’s goal is that the schools in the cluster sample might not be representative of the population of seniors
For better understanding let's explain what cluster sampling means
- Custer sampling is a type of sampling technique where group or clusters of participants that stand in the gap for the population that is to used in the experiment
- in the cluster sample why this may not be representative of the population of seniors is because the 5 representative sample is two small to representative the whole 15 school and also it is not even up to half of the population understudy and therefore results obtain from just 5 schools cannot be used to generalized the whole population.
From the above we can therefore say that the answer One disadvantage to selecting a cluster sample to investigate the superintendent’s goal is that the schools in the cluster sample might not be representative of the population of seniors is correct
Learn more about cluster sampling from:
https://brainly.com/question/11003935
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