Need to provide the estimates (not the random variables), by using R.

Suppose we want to generate X with Poisson (1 = 2) distribution by the acceptance-rejection method using Y having a Geometric (p) distribution: P(X = i) = pi -22 i! P(Y = i) = qi = P(1 p), i = 0,1,2, .... - (a) Determine which one of p 0.2 or p = 0.7 will lead to a smaller expected sample-size until acceptance, i.e., smaller E(N) max;(pi/qi). (Maximum of a := pi/di can be obtained by solving it!