3. If X is a continuous random variable and Y=aX+ b. show that A. E(Y) =...
Statistically independent random variables X and Y are defined by Ox=3 , Oy=2 , E[X]=2 and E[Y]=1. Another random variable is defines as W=3Y2+2X+1. Find Rwy X ve Y bağımsız rasgele değişkenleri için Ox=3 , Oy=2, E[X]=2 ve E[Y]=1 olarak veriliyor. Bir diğer rasgele değişken W=3XY+2X+1 olarak tanımlanıyor. Rwy değerini bulunuz.
Let X and Y be independent normal random variables with parameters E[X] =ux, E[Y] = uy and Var(X) = x, Var(Y) = Oy. Indicate whether each of the following statements is true or false. Notation: fx,y (x, y), fx(x), fy (v) denote the joint and marginal PDFs of X and Y , respectively; $(x) is the CDF of a standard normal random variable with zero mean and unit variance. E[XY]=0
5. The means, standard deviations, and covariance for random variables X, Y, and Z are given below. Ux= 3, uy = 5, uz = 7 Ox= 1, OY = 3, oz = 4 cov(X, Y) = 1, cov (X, Z) = 3, and cov (Y,Z) = -3 T= X-28 +3 Z var(T) = 16. For a random variable X with an unknown distribution. The mean of X is u = 22 and tting a randomly chosen value of X
8. A Gaussian random variable x with a mean and variance of ax and Ox? respectively goes through a linear transformation of y=ax +b, where a and b are any real constants. Determine the probability density function of y, also give its mean and variance. (5 points).
Let X, Y be independent random variables with E[X] = E[Y] = 0 and ox = Oy = 5. Then Var(2x+3Y) = 1. True False
Let X, Y be independent random variables with E[X] = E[Y] = 0 and ox = oy = 5. Then Var(2x +3Y) = 1. True False
can you solve 1 and 2 please??? 1. Calculate E(Y) and SD(Y) for the random variable Y with pdf gy (y) = -7?, 1<y<4. 2. The random variable X has mean jix = 12 and standard deviation o x = 5. Define a new random variable Y = ax + b. (a) Calculate My and oy when a = -2 and 6 -3. (b) Calculate the values of a and b that result in My = 20 and a 100.
Let Θ be a continuous random variable uniformly distributed on [0,2 Let X = cose and Y sin e. Show that, for this X and Y, X and Y are uncorrelated but not independent. (Hint: As part of the solution, you will need to find E[X], E[Y] and E|XY]. This should be pretty easy; if you find yourself trying to find fx(x) or fy (v), you are doing this the (very) hard way.) Let Θ be a continuous random variable...
A continuous random variable X has the probability density function f(x) = e^(-x), x>0 a) Compute the mean and variance of this random variable. b) Derive the probability density function of the random variable Y = X^3. c) Compute the mean and variance of the random variable Y in part b)
4. Let X be a continuous random variable with probability density 1 0< x<3 -x + k =6 f(x) elsewhere 0, Evaluate k. a. b. Find P(1 < X< 2). c. Find E(X) d. Find e. Find ox. 4. Let X be a continuous random variable with probability density 1 0