Peter K. answered 02/16/20
Math / Statistics / Data Analytics
E(x) = sum(x*p(x)) over all x= .65 * 0 + .2 * 1 + .15 * 2 = 0.50
std.dev(x) = sqrt(variance(x)) = sqrt(E[X^2 ] - (E[X])^2).
E(x^2) = .65 * 0^2 + .2 * 1^2 + .15 * 2^2 = .2 + .6 = .8
(E(x))^2 = .50^2 = .25
so std.dev(x) = sqrt(.8 - .25) = sqrt(.55) ~ 0.7416198