To sample the number of restaurants in a town, one can use cluster sampling by choosing areas within cities and listing all restaurants in those clusters, or stratified sampling by selecting a representative percentage from each city, ensuring randomness to avoid bias.
To determine the number of restaurants in a specific town using sampling methods, one can employ either cluster sampling or stratified sampling. For cluster sampling, you might select a few areas within two cities and consider every restaurant within those clusters as your sample. When completing the table, you would list the restaurants found in each selected cluster.
For stratified sampling, you might divide the restaurants by city and then choose a representative 25 percent from each city. In both cases, it's crucial to follow a random sampling procedure to avoid bias. The conclusion about the total number of restaurants is inferred based on the findings from the sampled clusters or strata.