Generate N samples X1, X2, . . . , X30 Uniform [20, 10] for N large (N = 10^4, if possible). Use these samples to estimate the probability P (M30 5). How does your answer compare to what the central limit theorem gives as an approximation? Use N = 10^5. With R, use runif (n,min=a, max=b) to generate n rvs from uniform (a, b).