Final answer:
A cluster sample involves subdividing the population into clusters and then randomly selecting entire clusters to be included in the sample. The procedure includes identifying clusters, randomly selecting them, and sampling all units within those clusters.
Step-by-step explanation:
When selecting a cluster sample of restaurants from two cities, the procedure involves dividing the population into sections (or clusters) and then randomly selecting entire clusters to form the sample. Here is a step-by-step procedure for creating a cluster sample:
- Identify all the restaurants in the two targeted cities and divide them into clusters based on some criteria (e.g., location within the city, type of cuisine, etc.).
- Randomly select a number of these clusters to include in the sample. For example, if there are 50 clusters, you might randomly choose 10.
- Include all restaurants from the chosen clusters in the sample. The actual number of restaurants sampled will depend on how many are in each selected cluster.
To complete the table with your sample, you would list the clusters and the respective restaurants included in those clusters.