Statistics, Machine Learning, Data Science, Central Limit Theorem, Sample.
Population distribution mean & variance: mean = (a+b)/2 var = (1/12)*((b-a)**2) fn = lambda N: np.random.uniform(low=a, high=b, size=N) return plot_central_limit_theorem(fn, mean=mean, var=var) def DiscreteUniformCLT(n=6): ## Default=die roll. """Models a discrete uniform over values {1, 2, ...,