Solve all the parts clearly otherwise dislike

1. Develop an Arena model for a Health-Care Clinic as per the description given below: A walk-in health care clinic has analysed their operations and they have found that they can classify their walk-in patients into three categories: high priority (urgent need of medical attention), medium priority (need standard medical attention), and low priority (non-urgent need of medical attention). On a typical day during the period of interest, there are about 15 arrivals per hour with 25% being high priority, 60% being medium priority, and the remaining being low priority. The clinic is interested in understanding the waiting time for patients at the clinic. Upon arrival to the clinic, the patients are triaged by a nurse into one of the three types of patients. This takes only 23 minutes uniformly distributed. Then, the patients wait in the waiting room based on their priority. Patients with higher priority are placed at the front of the line. Patients with the same priority are ordered based on a FCFS basis. The service time distributions of the customers are given as follows. The clinic has four doctors on staff to attend to the patients during the period of interest. They have found through a survey that if there are more than 10 people waiting for service, an arriving low priority patient will exit before being triaged. Finally, they have found that the nonurgent (low priority) patients may depart if they have to wait longer than 155 minutes after triage. That is, a non-urgent patient may enter the clinic and begin waiting for a doctor, but if they have to wait more than 155 minutes (uniformly distributed), they will decide to renege and leave the clinic without getting service. I. With the help of the picture, develop an Arena model for the above system. II. Estimate the following statistics: * The average system time of each type of patient. * The probability that low priority patient's balk. * The distribution of the number of customers waiting in the doctor queue