The sampling method you're referring to is called Cluster Sampling. Here are the steps involved in this method:

1. Identification of the Target Population: The first step is to identify the total population that you want to study. This could be a group of people, items, events, etc.

2. Division into Clusters: The next step is to divide the entire population into clusters or groups. These clusters should be made in such a way that each cluster is a representative of the population.

3. Selection of Clusters: After the clusters are formed, some of them are selected randomly. This selection can be done in various ways such as simple random sampling, systematic sampling, etc.

4. Data Collection: Once the clusters are selected, data is collected from every unit of these selected clusters. This data forms the sample which is used for further study.

5. Analysis: The final step is to analyze the collected data to draw conclusions about the entire population.

This method is often used when the population is large, spread over a wide area and it's not feasible to collect data from every individual unit.

Question

The sampling method you're referring to is called Cluster Sampling. Here are the steps involved in this method:

1. Identification of the Target Population: The first step is to identify the total population that you want to study. This could be a group of people, items, events, etc.

2. Division into Clusters: The next step is to divide the entire population into clusters or groups. These clusters should be made in such a way that each cluster is a representative of the population.

3. Selection of Clusters: After the clusters are formed, some of them are selected randomly. This selection can be done in various ways such as simple random sampling, systematic sampling, etc.

4. Data Collection: Once the clusters are selected, data is collected from every unit of these selected clusters. This data forms the sample which is used for further study.

5. Analysis: The final step is to analyze the collected data to draw conclusions about the entire population.

This method is often used when the population is large, spread over a wide area and it's not feasible to collect data from every individual unit.

Knowee AI · Accepted Answer

The sampling method you're referring to is called Cluster Sampling. Here are the steps involved in this method:

1. Identification of the Target Population: The first step is to identify the total population that you want to study. This could be a group of people, items, events, etc.

2. Division into Clusters: The next step is to divide the entire population into clusters or groups. These clusters should be made in such a way that each cluster is a representative of the population.

3. Selection of Clusters: After the clusters are formed, some of them are selected randomly. This selection can be done in various ways such as simple random sampling, systematic sampling, etc.

4. Data Collection: Once the clusters are selected, data is collected from every unit of these selected clusters. This data forms the sample which is used for further study.

5. Analysis: The final step is to analyze the collected data to draw conclusions about the entire population.

This method is often used when the population is large, spread over a wide area and it's not feasible to collect data from every individual unit.

A sampling method that divides the population into clusters or groups and randomly selects some of the clusters for the sample.

Question

A sampling method that divides the population into clusters or groups and randomly selects some of the clusters for the sample.

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