find mean variance of pdf: ?(?)=1 ?=0,1,⋯,?, ?>0 integer
Question is basically asking to compute the mean and variance of the function. I am attaching the handwritten solutions of this as follows:
The answer mean is 1/3, variance is 1/18 Problem 44.15 Suppose that X has a continuous distribution with pdf. fx (x) = 2x on (0,1) and 0 elsewhere. Suppose that Y is a continuous random variable such that the conditional distribution of Y given X- is uniform on the interval (0, x). Find the mean and variance of Y.
Problem1 Let Y=aX + b . (a) Find the mean and variance of Y in terms of the mean and variance of X (b) Evaluate the mean and variance ofYifXhas the following PDF (c) Evaluate the mean and variance of Y if Xis the Gaussian random variable with mean 0 and variance of 1 d) Evaluate the mean and variance of Yif X bcos(2RU) where U is a uniform random variable in the unit interval. Problem1 Let Y=aX + b...
Let Y-ar+b (a) Find the mean and variance of Y in terms of the mean and variance of X b) Evaluate the mean and variance ofY if Xhas the following PDF: (a)-ele (c) Evaluate the mean and variance of Y if Xis the Gaussian random variable with mean 0 and variance d) Evaluate the mean and variance of Yif X-bcos 2U) where U is a uniform random variable in of 1 the unit interval. Let Y-ar+b (a) Find the mean...
6. Using the mgf, find the mean and variance of the random variable X with pdf: f(x)=
Suppose (X,Y ) is chosen according to the continuous uniform distribution on the triangle with vertices (0,0), (0,1) and (2,0), that is, the joint pdf of (X,Y ) is fX,Y (x,y) =c, for 0 ≤ x ≤ 2,0 ≤ y ≤ 1, 1/ 2x + y ≤ 1, 0 , else. (a) Find the value of c. (b) Calculate the pdf, the mean and variance of X. (c) Calculate the pdf and the mean of Y . (d) Calculate the...
Given the probability density function , determine the mean and variance of the distribution. Round the answers to the nearest integer. The pdf is 0 for x<0. 4.8.2 Your answer is partially correct. Try again. Given the probability density function f(x)- The pdf is 0 for x<0. nction f(x) = 0048/e-004r determine the mean and variance of the distribution. Round the answers to the nearest integer Г (8) Mean 200 Variance = Statistical Tables and Charts LINK TO TEXT Question...
Let X be Gaussian with zero mean and unit variance. Let Y = |X|. Find: a) The PDF fY (y) b) The mean E[Y ] c) Here X is uniform in (0, 1), but now you are asked to find a functiong(·) such that the PDF of Y = g(X) is ?2y 0≤y<1fY (y) = 0 otherwise
Fix an integer N>1, and consider the function f:[0,1]R defined as follows: if XE[0,1] and there is an integer n with 1<n<N such that nxez, choose n with this property as small as possible, and set f(x) := 1/n^2; otherwise set f(x):=0. Show that f is 0 integrable, and S f.
Let X1 and X2 have joint PDF f(x1,x2)=x1+x2 for 0 <x1 <1 and 0<x2 <1.(a) Find the covariance and correlation of X1 and X2. (b) Find the conditional mean and conditional variance of X1 given X2 = x2.
1 Fix an integer N > 1, and consider the function f : [0,1] - R defined as follows: if 2 € (0,1) and there is an integer n with 1 <n<N such that nx € Z, choose n with this property as small as possible, and set f(x) := otherwise set f(x):= 0. Show that f is integrable, and compute Sf. (Hint: a problem from Homework Set 7 may be very useful for 0 this!)