Monte Carlo, Python, Jupyter Notebook.
range(iterations): a = random.gauss(200, 33) b = random.gauss(50, 5) final_results.append(transfer_function(a,b)) return final_results The number of iterations is controlled via variable iterations. For this example, variable a has been assigned normal distribution with mean value of 200 and a