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A researcher wants to study the shopping preferences of different age groups. Which sampling method would provide a representative sample?  A. Convenience sampling  B. Systematic random sampling  C. Purposive sampling  D. Cluster sampling

Question

A researcher wants to study the shopping preferences of different age groups. Which sampling method would provide a representative sample?  A. Convenience sampling  B. Systematic random sampling  C. Purposive sampling  D. Cluster sampling

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Solution

The most suitable sampling method for studying the shopping preferences of different age groups would be C. Purposive sampling. This is because purposive sampling allows the researcher to intentionally select individuals who are part of the age groups they are interested in studying. This way, they can ensure that their sample is representative of the different age groups they want to study.

Here's a step-by-step explanation:

  1. Identify the different age groups the researcher is interested in. This could be, for example, teenagers, young adults, middle-aged adults, and seniors.

  2. For each age group, select a sample of individuals. The selection should be intentional (i.e., not random) to ensure that each age group is adequately represented in the sample.

  3. Collect data on the shopping preferences of the selected individuals.

  4. Analyze the data to identify trends and patterns in the shopping preferences of the different age groups.

While other sampling methods like convenience sampling, systematic random sampling, and cluster sampling could also be used in some research scenarios, they may not ensure that all the age groups of interest are adequately represented in the sample. Therefore, for this specific research purpose, purposive sampling would be the most appropriate method.

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