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What is a example of cluster sampling?

Updated: 4/28/2022
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Cluster sampling is a scheme which is used when sampling from the whole population would be too expensive - in terms of time or money. The sample space is divided into clusters, a random sample of clusters is selected and then every member of the population within the selected clusters is studied.

For example, suppose you wanted to collect information from schools across a country and had calculated that a 5% sample was required. Rather than criss-crossing the country, you could divide the country into units: for example counties. You then select counties (your clusters) so that they cover 5% of the nation's schools. Visit each chosen county and sample all schools in it. The selection of counties would probably also need to be controlled so that urban and rural areas are properly represented.

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Q: What is a example of cluster sampling?
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Related questions

What is the difference between quota sampling and cluster sampling?

What is the difference between quota sampling and cluster sampling


Example of multistage sampling?

the combinitoin of any random samples is called multistage samplinag. it is the expensive form of cluster samling. when each elements in cluster are expensive then we use multistage sampling.


Is cluster sampling random?

It can be but it is not simple random sampling.


What are the various kind of sampling?

They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.


What is a cluster sampling?

Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling


What does all the population in a certain area make up?

What I believe you are referring to is cluster sampling or cluster. In cluster sampling, the population is divided into clusters and all population members in the cluster are sampled.


What is cluster sampling?

Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling


How do multistage sampling applies to real life situation?

Multistage sampling is a form of cluster sampling where instead of using the entire cluster, random samples from each cluster are used. This is typically used when doing opinion polls or surveys.


Breifly explain three different examples of sampling?

simple random, stratified sampling, cluster sampling


Mention different types of sampling in statistics.?

Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling


Which sampling method is based on probability?

There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.


Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.