Please finish Exercise 6.16 in PYTHON! The above table is CallCounts.xls.

Exercise 4.16 Simulation Programming: Simulate the call center. You must use VBASim.Python for your programming. In particular, the Classes Entity, Event Calendar, FIFOQueue and Resource must be used (you may of course modify them). Exercise 6.16 Simulation Programming, Nonstationary Poisson Process - Thinning: For the call center in Exercise 16 of Chapter 4, use the data CallCounts.rls to estimate arrival rates for a piecewise-constant, nonstationary Poisson arrival process. Implement this arrival process in your simulations and describe the results. Use the thinning to generate the arrival process 8AM-9AM 9AM-10AM 10AM-11AM 11AM-12PM 12PM-1PM 1PM-2PM 2PM-3PM 3PM-4PM 21 65 35 39 58 67 58 68 93 82 62 70 68 25 51 29 30 27 65 62 56 51 89 85 35 29 24 20 42 38 36 56 67 24 32 41 29 24 31 35 29 36 32 30 38 39 79 69 39 60 63 63 90 76 92 26 36 36 75 72 62 37 20 25 24 21 23 58 38 53 32 79 73 85 28 29 38 38 53 78 72 91 80 68 63 25 39 36 27 32 29 30 28 32 51 96 80 68 50 36 36 29 65 61 63 53 79 89 72 72 65 20 39 36 21 Exercise 4.16 Simulation Programming: Simulate the call center. You must use VBASim.Python for your programming. In particular, the Classes Entity, Event Calendar, FIFOQueue and Resource must be used (you may of course modify them). Exercise 6.16 Simulation Programming, Nonstationary Poisson Process - Thinning: For the call center in Exercise 16 of Chapter 4, use the data CallCounts.rls to estimate arrival rates for a piecewise-constant, nonstationary Poisson arrival process. Implement this arrival process in your simulations and describe the results. Use the thinning to generate the arrival process 8AM-9AM 9AM-10AM 10AM-11AM 11AM-12PM 12PM-1PM 1PM-2PM 2PM-3PM 3PM-4PM 21 65 35 39 58 67 58 68 93 82 62 70 68 25 51 29 30 27 65 62 56 51 89 85 35 29 24 20 42 38 36 56 67 24 32 41 29 24 31 35 29 36 32 30 38 39 79 69 39 60 63 63 90 76 92 26 36 36 75 72 62 37 20 25 24 21 23 58 38 53 32 79 73 85 28 29 38 38 53 78 72 91 80 68 63 25 39 36 27 32 29 30 28 32 51 96 80 68 50 36 36 29 65 61 63 53 79 89 72 72 65 20 39 36 21