The Julia code below generates 1000 samples with values "1", "2", "3" or "4" based on the weights, 0.1, 0.6, 0.2 and 0.1 respectively. using StatsBase w = weights ([0. 1, 0.6, 0.2, 0.1]) #A proportion of the number of samples equaling either 1 or 3 prop2 = sum ([sample (w) == 1 sample (w) == 3 for in _ 1: 1000])/1000 (f) Modify this case to simulate the experiment of the question (with ohm = {a, b, c, d, e}) using 10^6 replications. Based on the simulation runs, present your estimates for the probabilities in (a) - (e) and compare then to your exact answers for (a) - (e). The Julia code below generates 1000 samples with values "1", "2", "3" or "4" based on the weights, 0.1, 0.6, 0.2 and 0.1 respectively. using StatsBase w = weights ([0. 1, 0.6, 0.2, 0.1]) #A proportion of the number of samples equaling either 1 or 3 prop2 = sum ([sample (w) == 1 sample (w) == 3 for in _ 1: 1000])/1000 (f) Modify this case to simulate the experiment of the question (with ohm = {a, b, c, d, e}) using 10^6 replications. Based on the simulation runs, present your estimates for the probabilities in (a) - (e) and compare then to your exact answers for (a) - (e)