Q.Explain cluster sampling. State one situation in a business or economic survey where cluster sampling would be preferred over simple random sampling.
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Start your 14-day free trial to unlock the full solution →Cluster Sampling divides the population into naturally occurring groups called clusters — often geographical, such as villages, talukas, or city wards. A random sample of these clusters is selected, and every unit within a selected cluster is studied (unlike stratified sampling, where a sample is drawn from every stratum).
Cluster sampling is preferred over simple random sampling when the population is widely and unevenly spread out. For example, in a survey of household expenditure across an entire district made up of 40 villages, drawing a simple random sample of individual households from across all 40 villages would mean investigators travelling to a handful of scattered households in almost every village — very costly and time-consuming. Instead, a random sample of, say, 5 villages (clusters) can be selected, and every household within those 5 villages surveyed — far more economical, though it can be somewhat less statistically p …
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