The sampling method where every nth item in the population is selected for the sample is called systematic sampling. Here are the steps to perform systematic sampling:

1. Define the Population: The first step in systematic sampling is to define the population from which you want to draw a sample. The population should be defined in terms of geographical location, age, income, etc.

2. Determine the Sample Size: The next step is to determine the size of the sample. This depends on the level of accuracy you want in your results. The larger the sample size, the more accurate the results will be.

3. Arrange the Population: Arrange the population in some order. This could be alphabetical, geographical, chronological, etc.

4. Select a Random Start: Select a random start from the population. This could be any number between 1 and the sampling interval.

5. Select Every nth Member: After selecting a random start, select every nth member of the population for your sample. The value of n is determined by dividing the population size by the desired sample size.

6. Collect Data: Once you have selected your sample, you can then collect data from these members.

7. Analyze the Data: The final step is to analyze the data collected. This could involve calculating averages, percentages, etc., and comparing these to the population as a whole.

Question

The sampling method where every nth item in the population is selected for the sample is called systematic sampling. Here are the steps to perform systematic sampling:

1. Define the Population: The first step in systematic sampling is to define the population from which you want to draw a sample. The population should be defined in terms of geographical location, age, income, etc.

2. Determine the Sample Size: The next step is to determine the size of the sample. This depends on the level of accuracy you want in your results. The larger the sample size, the more accurate the results will be.

3. Arrange the Population: Arrange the population in some order. This could be alphabetical, geographical, chronological, etc.

4. Select a Random Start: Select a random start from the population. This could be any number between 1 and the sampling interval.

5. Select Every nth Member: After selecting a random start, select every nth member of the population for your sample. The value of n is determined by dividing the population size by the desired sample size.

6. Collect Data: Once you have selected your sample, you can then collect data from these members.

7. Analyze the Data: The final step is to analyze the data collected. This could involve calculating averages, percentages, etc., and comparing these to the population as a whole.

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