marketing researchers often use city blocks as clusters in cluster sampling. using this fact, explain how a market researcher might use multistage cluster sampling to select a sample of consumers from_1

A market researcher might use multistage cluster sampling to select a sample of consumers from all cities with populations over 10,000 by following these steps:

1. First Stage (Primary Clusters) : The researcher begins by treating each city with a population greater than 10,000 as a cluster. They randomly select a sample of these cities across the target region.
2. Second Stage (Secondary Clusters) : Within each selected city, the researcher divides the city into smaller clusters such as city blocks. They then randomly select a sample of these city blocks from each chosen city.
3. Third Stage (Final Sampling Units) : From each selected city block, the researcher randomly selects households or individual consumers to be surveyed.

This multistage approach progressively narrows down the sample from large geographic units (cities) to smaller units (city blocks) to individual consumers, making the sampling process manageable and cost-effective while maintaining representativeness of the population across multiple cities. Using city blocks as clusters within cities helps organize the sample spatially and simplifies data collection logistics.