Hi, In the attachment, can someone explain how you get from the top circles terms to the bottom ones... Thanks Nik
Thanks for your reply.. I actually circled the wrong term, I wanted to know how you get from nE[x^2] to the second term.. Thanks Nikesh
ohhh! I should have understand that. Actually Expected Value of sample mean is population mean and Variance of sample mean is (population variance)/n, see and Var(a)=E(a^2)-E(a)
Hemant is correct. We are using \(E(\bar X^2) = var(\bar X) + E^2(\bar X)\) And from the central limit theorem we know that \(E(\bar X) = \mu\) and \(var(\bar X) = \sigma^2/n\).