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Showing content with the highest reputation on 10/18/2022 in all areas

  1. Calculation For Cluster Sampling Method

    1 point
    Cluster sampling is useful when each cluster is a mini-representation of the population. The idea in cluster sampling is not to take samples from each cluster but to consider an entire cluster (or a few clusters) as sample for the entire population. This means 100% data from selected cluster(s) becomes the sample and we do not need to take any smaller proportions from the selected cluster.
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