(a) (2 pt) If X is uniform on (0,1), then for what function f is f(x)...
Problem 4. (5 pts) Continuous Random Variables (a) (2 pt) If X is uniform on [0, 1], then for what function f is f(x) exponential with parameter 12 (b) (3 pts) If X, Y are independent standard normal random variables N(0,1), what is the density of X - Y?
If X is uniform on [0,1], then for what function f is f(X) exponential with parameter 1?
are (3 pts) If X,Y independent standard normal random variables N(0,1), what is the density of X – Y?
2. If X is uniform on (0,2T) and X2, independent of X, is exponential with parameter 1, find the joint p.d.f. of Are Yİ, ½ independent standard normal random variables? Justify your answer 2. If X is uniform on (0,2T) and X2, independent of X, is exponential with parameter 1, find the joint p.d.f. of Are Yİ, ½ independent standard normal random variables? Justify your answer
If X, Y are independent standard normal random variables N(0,1), what is the density of X−Y?
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter A= 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(X > 0.25) U (Y> 0.25)}? nd (c) What is the conditional distribution of X, given that Y =3? ur worl mple with oumbers vour nal to complet the ovaluato all...
Problem 2 Suppose X ~Uniform[0,1 (1) What is the density function? (2) Calculate E(X), E(X2), and Var(X). (3) Calculate F(x)-P(X x) for x E [0, 1]. (4) Let Ylog X. Calculate F(-P(Y 3 y) for y 20. Calculate the density of Y.
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter = 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(x > 0.25) U (Y > 0.25)}? (c) What is the conditional distribution of X. given that Y - 3? (d) What is Var(Y - E[2X] + 3)? (e) What is...
If X1, X2, and X3 are three independent Uniform random variables (Xi-Unif(0,1)) a) Use the convolution integral to find density function of Z-x1+X2+X3. b) What is E[Z]? independent Uniform random variables (Xi-Unifo,1): If X1, X2, and X3 are three independent Uniform random variables (Xi-Unif(0,1)) a) Use the convolution integral to find density function of Z-x1+X2+X3. b) What is E[Z]? independent Uniform random variables (Xi-Unifo,1):
The joint probability density function of the random variables X, Y, and Z is (e-(x+y+z) f(x, y, z) 0 < x, 0 < y, 0 <z elsewhere (a) (3 pts) Verify that the joint density function is a valid density function. (b) (3 pts) Find the joint marginal density function of X and Y alone (by integrating over 2). (C) (4 pts) Find the marginal density functions for X and Y. (d) (3 pts) What are P(1 < X <...