Machine Learning, AI, Math.
distribution n = 10 # number of students p = 0.7 # probability of passing the exam # Possible values x_binom = np.arange(0, n+1) # Binomial probabilities probabilities_binom = binom.pmf(x_binom, n, p) # Parameter of the Poisson distribution lambda_ = 5 # average number of students scoring between