What is cluster sampling and how is it used?
An example of an AI chatbot conversation about cluster sampling techniques in research.
What is cluster sampling and how is it used?
Cluster sampling is a technique where the population is divided into groups, or clusters, and a random sample of these clusters is selected.
Can you give me an example of how cluster sampling works?
Sure! For instance, if a researcher wants to study students in a city, they might randomly select several schools (clusters) and then survey all students in those schools.
What are the advantages of using cluster sampling?
Cluster sampling can be more cost-effective and practical, especially when the population is spread out geographically.
Are there any disadvantages to cluster sampling?
Yes, one disadvantage is that it can introduce more sampling error if the clusters are not homogeneous.
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