I'm looking for the Expectation of the discrete random variable X, E[X], with pmf: $$p(x)=(\frac 16)^{x+1}, x=0,1,2,3...$$
so what I tried is as follows... $$E[X]= \sum_{0}^\infty xp(x) =$$
so then $$=\sum_0^\infty x(\frac 16)(\frac 16)^x = \frac 16\sum_{0}^\infty x(\frac 16)^x $$
which is $$ \frac 16 [0(\frac 16)^0+1(\frac 16)^1+2(\frac16)^2+3(\frac 16)^3+...] $$
so if we were to use the rule that: $$ \sum_0^\infty ar^x = \frac {a}{(1-r)} $$ when |r|<1.
Then it seems like the difference between that formula and my problem is the increasing coefficient on the (1/6)^x...
My math book (which doesn't really say anything more about it)... states that "there is a general increasing geometric series relation which is $$1 + 2r + 3r^2 + 4r^3+...= \frac {1}{(1-r)^2} $$
is that what I need to know? and if so, can someone please show me why? Thanks!