Sampling error is greater in a cluster sample than in a simple random sample.

Question

Quizplus · Accepted Answer

Cluster sampling often leads to higher sampling error compared to simple random sampling because it involves dividing the population into clusters and then randomly selecting entire clusters. This method can result in less diversity within the sample, as all individuals from selected clusters are included, potentially making the sample less representative of the overall population. Simple random sampling, on the other hand, gives each member of the population an equal chance of being selected, typically resulting in a more representative sample and lower sampling error.

Sampling Error Is Greater in a Cluster Sample Than in a Simple