July 26th, 2011, 5:28 pm
Hi All,I am stuggling to understand what this question is trying to get at..Let X~N(0,1) a normally distributed random variable mu = 0, sigma = 1. suppose now x E R, x >0 find the upper and lower bound of the conditional expectation of X for E(X|X>=x)Here X and x are different and not a typo.First thoughts was to just compute the integral with the limits 0<x<infinity but this obviously leads to just a number, and no inequality. I then started treating the two parts X and X>=x as two random variables not really much help there either.. My final thoughts was looking at the known inequalities such as Chebyshev's inequality etcand these tend to be single bound from above... Im not looking for the solution by any means just a gentle push in the right direction please..
Last edited by
robertChin1984 on July 25th, 2011, 10:00 pm, edited 1 time in total.