Statistics, Statistical Analysis, Normal Distribution, Central Limit Theorem, Cdf.
(MSE). The MSE is defined as follows: MSE=1/R i=1R (Y1 — f(xi))2 where R is the number of simulations, yi​ is the empirical probability of having xi​ rupees after N rolls, and f(xi​) is the normal approximation of having xi​ rupees after N rolls. We can use Python to calculate the MSE using some