a) since X is random variable
Z is transformation of X
Z is also a random variable
b)
X = 1 with probability p
X = 0 with probability 1-p
Z = 3^1 -1 = 2 with probability p
Z = 3^0 -1 = 0 with probability 1-p
E(Z) = 2 * p + 0 * (1-p) = 2p
c)
E(Z^2) = 2^2 * p + 0 ^2 * (1-p) = 4p
d)
Var(Z) = E(Z^2) - (E(Z))^2
= 4p - (2p)^2
=4p -4p^2
=4p(1-p)
(5) [4 pts] Let XBernoulli(p). Define Z 3x-1. (a) Is Z a random variable? Why? (b)...
(4) (20 pts) Let X ~ Bernoulli(p). Define Z = 3x-1. (a) Is Z a random variable? Why or why not? (b) Show that EIZ 2p. (c) Show that EZ2 4p. (d) What is the variance of Z?
(1) Let X be exponential random variable with λ = 1. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computations
(1) Let X be exponential random variable with λ = 1. (a) (4 pts) Define Y = √ X. Specify the support of Y and find its density. Show all of your work and computations. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computat
(1) Let X be exponential random variable with λ = 1. (a) (4 pts) Define Y = √ X. Specify the support of Y and find its density. Show all of your work and computations. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computation
1) [15 pts.] Let Z be a discrete random variable having possible values 0, 1,2, and 3 and probability mass function p(0)-1/4, p(1) =1/2, p(2)-1/8, p(3) =1/8. (a) Plot the corresponding (cumulative) distribution function. (b) Determine the mean ETZ. (e) Evaluate the variance Var(Z)
Let p(z)=1/5 be the probability distribution function for random variable X with z=5, 10, 15, 20, 25. Find the mean and variance of Z..
1. Let Z be the standard normal random variable. Find (a) P(Z > −1.78) = (b) P(−.60 < Z < 1.25) = (c) z.005 = (d) z.025 =
(7) 112 ptsl Let Xi,..., XT denote a random sample of size T from X, where VIX] < oo. a +bX, and for each t define Zt a +bX, for some Define a new random variable Z constants a and b. (a) Show that Z = a + bX and 03-b2q, where the sample me an X and sample variance x of the original sample are as defined in class (b) Prove that Z is an unbiased estimator of E[Z]...
5. Let Z be a standard normal random variable. Use the table on page 848 of the textbook to evaluate the following. (a) P(Z < 0.04) (b) P (0.09 < 20 S 0.81) (c) P(Z <1.3) (d) P(-2 <7 <1) (e) P(Z -0.1) (Z -0.2) (Z -0.3) (Z-0.4) > 0)
Let Z be a random variable where P(X<0) = 0:
a) If
, what is
?
b) If
, what is P = [Z = E(Z)] ?
c) If
, what is
?
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