Hi, I am working on a section in my text book on unbiased estimators, and for several of the problems I have to find the expected value of x squared. I have the solutions manual for the text book, but I can't figure out how they computed the expected value. For example, for a binomial distribution with parameters n, p and q = 1-p, they have the expected value of x squared equals npq+n^2*p^2. Can someone please explain how they get this? Another example is for a poisson distribution with parameter L. They have the expected value of x^2 as L + L^2. Do I have to use the formula for the expected value of x^2 and compute the sum? This seems very difficult for both of these distributions.
Thanks, Kevin . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
