3. Let N = (M, ,X,) be a multinomial (mi pı, pr) random vector. Compute the PT mean and covarianc...
Let x ER" be a Gaussian random vector with mean 0 and covariance matrix I. Prove that, for any orthogonal matrix (ie, an n × n matrix satisfying UTU-1), one has that Ur and are identically distributed.
ONLY NEED H, I, J, K, L, M 1. (65 points: 5 points each) For each situation below, what is the most appropriate probability model for the random variable X? (no n a) Let X - how many customers will buy a sofa tomorrow at Wolf's furniture store. b) In a program that provides free home inspections for seniors, let X- how many homes eed to specify parameter values) are inspected before one needs a new roof. c) Let X...