write a MATLAB code to simulate arrivals from a Poisson Process with arrival rate 6/hour. Simulate the system for 4 hours and generate arrival times. Run your code for R-100 replications, and using these 100 simulation runs, estimate the following: a. i. The average number of arrivals during the second half hour. Form a point estimator and a 90% confidence interval estimator ii. The probability of at most 5 (5) customers arriving during the last hour (-between 3rd and 4th hours). Form a point estimator and a 90% confidence interval estimator Hint: For this part, you need to look at the fraction of simulation runs that have at most 5 customers arrive during the last hour. Be careful about the confidence interval for probabilities! You might want to recall the spreadsheet simulations we have done Note that each replication should be a simulation for 4 hours. write a MATLAB code to simulate arrivals from a Poisson Process with arrival rate 6/hour. Simulate the system for 4 hours and generate arrival times. Run your code for R-100 replications, and using these 100 simulation runs, estimate the following: a. i. The average number of arrivals during the second half hour. Form a point estimator and a 90% confidence interval estimator ii. The probability of at most 5 (5) customers arriving during the last hour (-between 3rd and 4th hours). Form a point estimator and a 90% confidence interval estimator Hint: For this part, you need to look at the fraction of simulation runs that have at most 5 customers arrive during the last hour. Be careful about the confidence interval for probabilities! You might want to recall the spreadsheet simulations we have done Note that each replication should be a simulation for 4 hours