Can you explain what cluster sampling is?
Sure! Cluster sampling is a sampling technique where the population is divided into groups, or clusters, and a random sample of these clusters is selected.
How is it different from stratified sampling?
In stratified sampling, the population is divided into strata based on specific characteristics, and samples are taken from each stratum. In cluster sampling, entire clusters are selected at once.
What are some advantages of using cluster sampling?
Cluster sampling can be more cost-effective and easier to implement, especially when the population is large and spread out.
Can you give me an example of cluster sampling in real life?
Certainly! For instance, if a researcher wants to study the eating habits of students in a large university, they might randomly select a few dormitories (clusters) and survey all students living in those selected dorms.
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