What Cluster sample is
A cluster sample is a type of probability sampling method in which clusters of units are selected from a population and all the units in each cluster are included in the sample. This method is commonly used when it is difficult or expensive to select a random sample of the population.
Steps for Cluster Sampling:
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Define the population: This includes determining the population size and the characteristics of the population.
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Identify clusters: This involves identifying subgroups within the population that can be used as clusters.
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Select the clusters: This involves selecting the clusters that will be included in the sample.
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Select the sample: This involves selecting the sample from each cluster.
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Collect data from the sample: This involves collecting the data from the units in the sample.
Examples
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Cluster sampling is used to identify population characteristics in marketing research. For example, a researcher may use cluster sampling to divide a city into different neighborhoods and then collect data from individuals within each neighborhood.
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Cluster sampling is also used in epidemiology studies. For example, a researcher might use cluster sampling to identify which areas of a city have higher rates of a certain disease by taking a random sample of neighborhoods.
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Cluster sampling can be used to identify the prevalence of a certain behavior or attitude in a population. For example, a researcher might use cluster sampling to identify which neighborhoods in a city have higher levels of support for a particular political candidate.