Final answer:
The optimal number of shoppers per week or month for a restaurant varies based on many factors. Statistical confidence intervals can help in forecasting customer flow, but the survey mentioned does not directly answer the question about restaurant visitors.
Step-by-step explanation:
The number of shoppers a restaurant should receive per week or month is not specified and varies greatly depending on multiple factors such as the restaurant's location, seating capacity, marketing efforts, cuisine popularity, and seasonality. To approach the question statistically, data would be collected and analyzed to predict customer flow.
While the initial survey mentioned pertains to the frequency of visits before making a major purchase, this can be somewhat related to restaurant visits only in the sense that it involves understanding customer behavior patterns. However, it doesn't provide direct insights into the optimal number of customers a restaurant should serve.
For example, if we had data that showed on average how many minutes elapse between two successive customer arrivals, and how long on average it takes for three customers to arrive when the store opens, this could aid in business planning and staff scheduling for the restaurant.
To make informed decisions, the restaurant could rely on statistical confidence intervals. For instance, saying that we are approximately 95 percent confident in the true mean number of meals that students eat out in a week is between a certain range would help the restaurant in forecasting demand and inventory management.