Question

Let X be a random variable with probability density function fX (x) = I (0, 1) (x). Determine the probability density function of Y = 3X + 1 and the density function of probability of Z = - log (X).

Answer #1

Let X be a continuous random variable with a probability density function
fX (x) = 2xI (0,1) (x) and let it be the function´
Y (x) = e^−x
a. Find the expression for the probability density function fY (y).
b. Find the domain of the probability density function fY (y).

Let X and Y be a random variables with the joint probability
density function fX,Y (x, y) = { cx2y, 0 < x2 < y < x for
x > 0 0, otherwise }. compute the marginal probability density
functions fX(x) and fY (y). Are the random variables X and Y
independent?.

Let X and Y be a random variables with the joint probability
density function fX,Y (x, y) = { e −x−y , 0 < x, y < ∞ 0,
otherwise } . a. Let W = max(X, Y ) Compute the probability density
function of W. b. Let U = min(X, Y ) Compute the probability
density function of U. c. Compute the probability density function
of X + Y .

Let X be a random variable with probability density function
fX(x) = {c(1−x^2)if −1< x <1, 0 otherwise}.
a) What is the value of c?
b) What is the cumulative distribution function of X?
c) Compute E(X) and Var(X).

1. Let (X; Y ) be a continuous random vector with joint
probability density function
fX;Y (x, y) =
k(x + y^2) if 0 < x < 1 and 0 < y < 1
0 otherwise.
Find the following:
I: The expectation of XY , E(XY ).
J: The covariance of X and Y , Cov(X; Y ).

Let X be a gamma random variable with parameters α > 0 and β
> 0. Find the probability density function of the random
variable Y = 3X − 1 with its support.

Let X be a random variable with probability density function
f(x) = {3/10x(3-x) if 0<=x<=2
.........{0 otherwise
a) Find the standard deviation of X to four decimal
places.
b) Find the mean of X to four decimal places.
c) Let y=x2 find the probability density function
fy of Y.

Let X be the random variable with probability density function
f(x) = 0.5x for 0 ≤ x ≤ 2 and zero otherwise. Find the
mean and standard deviation of the random variable X.

1. Let fX(x;μ,σ2) denote the probability density function of a
normally distributed variable X with mean μ and variance σ2.
a. What value of x maximizes this function?
b. What is the maximum value of fX(x;μ,σ2)?

5. Consider the random variable X with the following
distribution function for a > 0, β > 0:
FX (z) = 0 for z ≤ 0
= 1 – exp [–(z/a)β] for z > 0 (where exp y = ey)
(a) Determine the inverse function of FX (z), where 0 < z
< 1.
(b) Let a = β = 2 for the random variable X, and define the
numbers u1 = .33 and u2 = .9. Use the inverse...

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