provide excel file with simulation

A clinical assistant to the doctor's office wants to study the amount of time a patient spends waiting for a doctor. She decides to use simulation to estimate this waiting time. The doctor's office has two doctors working during the day, Doctor A and Doctor B$.$ Patients wait for doctors in a single FIFO queue. Each patient is served by the first doctor that becomes available and then leaves the office. If a patient finds both doctors available, then the patient is served by Doctor A$.$

From empirical study, the following probability distributions on the time between arrivals of patients and on the doctors' service time $($the same for both doctors$)$ are available:

$\backslash$table$[[\backslash$table$[[$Patient inter$-$arrival time$],[($in minutes$)]],$Probability$],[1,0\mathrm{.}5],[2,0\mathrm{.}3],[3,0\mathrm{.}2]]$

$\backslash$table$[[\backslash$table$[[$Doctor service time$],[($in minutes$)]],$Probability$],[2,0\mathrm{.}6],[3,0\mathrm{.}2],[4,0\mathrm{.}2]]$

Sketch the whole process at the doctor's office. Label the components of your diagram.

What are the expected inter$-$arrival time and expected service time $($without simulation$)?$

What are the arrival rate and service rate $($without simulation$)?$ If the doctor's office had only one doctor, what could you say about the expected waiting time of patients $($using your knowledge of queuing theory$).$

Using the following random numbers from uniform distribution between $0$ and $99,$ simulate the arrival and service of $8$ customers.

From the simulation, what is your best estimate of the average patient waiting time?

What is your best estimate of the average number of patients waiting? Explain.