How to prove that two independent N(0,1) random variables are the same? What's the probability of this event?
How to prove that two independent N(0,1) random variables are the same? What's the probability of...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector, 2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
Let X, Y, Z be independent uniform random variables on [0,1]. What is the probability that Y lies between X and Z.
Prove that any two independent random variables are uncorrelated.
If X, Y are independent standard normal random variables N(0,1), what is the density of X−Y?
are (3 pts) If X,Y independent standard normal random variables N(0,1), what is the density of X – Y?
Let X1 and X2 be independent n(0,1) random variables. Find the pdf of (X1 - X2)^2/2
8. Let X.(i-12) be independent N(0,1) random variables. a. Find the value of c such that P ( (X1 + X2尸/( X2-X)2 < c ) =.90 b. Find P(2 X1 -3 X21.5) c. Find 95th percentile of the distribution of Y-2X -3X2
Let ?, ?, and ? be independent random variables, uniformly distributed over [0,5], [0,1], and [0,2] respectively. What is the probability that both roots of the equation ??^2+??+?=0 are real?
7. Let X and Y be independent Gaussian random variables with identical densities N(0,1). Compute the conditional density of the random variable of X given that the sum Z = X + Y is known (i.e., XIX + Y)
2. The random variables X1, X2 and X3 are independent, with Xi N(0,1), X2 N(1,4) and X3 ~ N(-1.2). Consider the random column vector X-Xi, X2,X3]T. (a) Write X in the form where Z is a vector of iid standard normal random variables, μ is a 3x vector, and B is a 3 × 3 matrix. (b) What is the covariance matrix of X? (c) Determine the expectation of Yi = Xi + X3. (d) Determine the distribution of Y2...