A biased coin has a probability p, that it gives a tail when it is tossed. The random variable T is the number of tosses up to and including the second tail. (a) state the distribution of T. NB (2, r) (b) Show that p(T = t) = (t-1). (1-p)^t-2. p^2 for t > 2 (c) Hence show that 1/(T - 1) is an unbiased estimator of p. It's part c - I really don't know what I supposed to do here.