• Applications of Cluster Sampling
  • Cluster Sampling in Statistics
  • Steps to Conduct Cluster Sampling




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    Steps to Conduct Cluster Sampling


    Here are the steps to perform cluster sampling:


    1. Sample: Decide the target audience and also the sample size.

    2. Create and evaluate sampling frames: Create a sampling frame by using either an existing framework or creating a new one for the target audience. Evaluate frameworks based on coverage and clustering and make adjustments accordingly. These groups will be varied, considering the population, which can be exclusive and comprehensive. Members of a sample are selected individually.

    3. Determine groups: Determine the number of groups by including the same average members in each group. So make sure each of these groups is distinct from one another.

    4. Select clusters: Choose clusters by applying a random selection.

    5. Create sub-types: It is bifurcated into two-stage and multi-stage subtypes based on the number of steps followed by researchers to form clusters.

    Applications of Cluster Sampling


    This sampling technique is used in an area or geographical cluster sampling for market research. A broad geographic location can be expensive to survey compared to surveys sent to clusters divided based on region. The sample numbers must be increased to achieve accurate results, but the cost savings make this process of rising clusters attainable.

    Cluster Sampling in Statistics


    The technique is widely used in statistics where the researcher can’t collect data from the entire population. So, it is the most economical and practical solution for research statisticians. Take the example of a researcher looking to understand smartphone usage in Germany. In this case, the cities of Germany will form clusters. This sampling method is also used in wars and natural calamities to draw inferences about a population, where collecting data from every individual residing is impossible.

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    Steps to Conduct Cluster Sampling

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