Cluster Sample: Difference between revisions

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{{Learning concept
{{Learning concept
|Description=In cluster sampling, the population is divided into primary units, then samples are drawn from the primary units.
|Description=In cluster sampling, the population is divided into clusters using naturally occurring geographic or other boundaries. Then, clusters are randomly selected and a sample is collected by randomly selecting from each cluster.
|Wikipedia reference=http://en.wikipedia.org/wiki/Cluster_sample
|Wikipedia reference=http://en.wikipedia.org/wiki/Cluster_sample
}}
}}

Latest revision as of 19:57, 20 May 2014

Description

In cluster sampling, the population is divided into clusters using naturally occurring geographic or other boundaries. Then, clusters are randomly selected and a sample is collected by randomly selecting from each cluster.

Concept Prerequisite

Wikipedia Reference

http://en.wikipedia.org/wiki/Cluster sample

Learning Material

Covered in Topic(s)

 
Sampling Distributions and The Central Limit Theorem