Final answer:
The optimal method to determine parking space requirements is based on peak demand. Evidence supports using a problem-solution strategy for issues like wait times. Quantitative data on parking like the count of cars is considered discrete.
Step-by-step explanation:
The best way to determine the number of parking spaces a medical office needs is to calculate it based on the peak number of patients and staff expected at any given time. This method takes into account the maximum demand for parking and ensures there is sufficient space during the busiest periods. When considering a scenario where the distribution of the time it takes to find a parking space follows a normal distribution with a mean of five minutes and a standard deviation of two minutes, finding a parking space in less than one minute would be significantly below the mean, and therefore surprising. For a given day in a parking lot with a presumption that on average 37.5 percent of cars are parked crookedly, out of 22 surveyed cars, one can expect around 8.25 cars to be parked crookedly. The probability of at least 10 of the 22 cars being parked crookedly is 0.1607, suggesting a rather low chance.
Considering the number of cars in a parking lot, this datum is of the quantitative type and, more specifically, discrete since it represents a countable number of items. When examining problems based on wait times and staff-to-student ratios, data and evidence support a problem-solution reasoning strategy. Prolonged wait times, prevalent mental health issues, and high staff-to-student ratios are all challenges that can be substantiated with evidence and require solutions.