Suppose Xn and X are real-valued random variables (defined on a common probability space). Prove that, if Xn converges to X in probability, then Xn converges in distribution to X. Show by counterexample that the converse is false.

However, show that if X is a constant with probability one, then Xn converging to X in distribution implies Xn converges to X in probability.