Problem 411 (intro to MLE) Suppose that X is a discrete random variable with probability function 2 1 2 1 P(X:U|H):H, P[X:1|9}:9, P{X22|B}:(1B), P(X:3|H]:E(1H), where U <_i ii is an unknown parameter. the following independent observations were taken from such a distribution: id d these are values of sample ten i.i.d. random variables x1 . x10 each with above probability mction. what likelihood function for in i called this iii-3 loglikelihood ned. compute value that maximizes sample: maximum estimate bml setting hq : and then solvng now suppose we have generic size n i.e. type x2="$2," ... xstyle="">