Question

a) Let Z be a standart normal RV(random variable) and If Y = Z^2 for all...

a) Let Z be a standart normal RV(random variable) and If Y = Z^2 for all Z, what is the PDF and mean of Y ?
b) If Y = Z^2 for Z>0 and Y=0 for other regitions, Calculate PDF of Y and P(Y=0).
c) Calculate P(Y<1) by using table for both a and b options above.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let X be a normal random variable with ?=−10 and ?=2. Let Z be a standard...
Let X be a normal random variable with ?=−10 and ?=2. Let Z be a standard normal random variable. Draw density plots for both random variables on the same graph. You will want an x-axis that goes from around -20 to around 5. Your y-axis will start at zero and will need go high enough to cover the highest density. Recall that the density of a normal random variable at the point ? with mean ? and standard deviation ?...
Let z be a normal random variable with mean 0 and standard deviation 1. What is...
Let z be a normal random variable with mean 0 and standard deviation 1. What is P(-2.25 < z < -1.1)? a 0.3643 b 0.8643 c 0.1235 d 0.4878 e 0.5000 Let zbe a normal random variable with mean 0 and standard deviation 1. The 50thpercentile of zis ____________. a 0.6700 b -1.254 c 0.0000 d 1.2800 e 0.5000 Let zbe a normal random variable with mean 0 and standard deviation 1. The 75thpercentile of zis ____________. a 0.6700 b...
Let Z be a standard normal random variable and Y = a +bZ^2+cZ^3 where a, b,...
Let Z be a standard normal random variable and Y = a +bZ^2+cZ^3 where a, b, c are constants. Compute the correlation p(Y,Z)
Let Z be a standard normal random variable (mean = 0 and sd = 1) and...
Let Z be a standard normal random variable (mean = 0 and sd = 1) and calculate the following probabilities: (a)    Pr(0 ≤ Z ≤ 2.68) (b)    Pr(0 ≤ Z ≤ 2) (c)    Pr(−2.60 ≤ Z ≤ 0) (d)    Pr(−2.60 ≤ Z ≤ 2.60) (e)    Pr(Z ≤ 1.26)
Let Z be a standard normal random variable (mean = 0 and sd = 1) and...
Let Z be a standard normal random variable (mean = 0 and sd = 1) and calculate the following probabilities: (a)    Pr(0 ≤ Z ≤ 2.49) (b)    Pr(0 ≤ Z ≤ 1) (c)     Pr(−2.50 ≤ Z ≤ 0) (d)     Pr(−2.50 ≤ Z ≤ 2.50) (e)    Pr(Z ≤ 1.52)
Let U1 and U2 be independent Uniform(0, 1) random variables and let Y = U1U2. (a)...
Let U1 and U2 be independent Uniform(0, 1) random variables and let Y = U1U2. (a) Write down the joint pdf of U1 and U2. (b) Find the cdf of Y by obtaining an expression for FY (y) = P(Y ≤ y) = P(U1U2 ≤ y) for all y. (c) Find the pdf of Y by taking the derivative of FY (y) with respect to y (d) Let X = U2 and find the joint pdf of the rv pair...
Let Y be a random variable with pdf fY (y) = − π/8 sin (πy), if...
Let Y be a random variable with pdf fY (y) = − π/8 sin (πy), if − 1 ≤ y ≤ 0 c sin (πy), if 0 ≤ y ≤ 1 0, otherwise. (a) What is c? (b) What is Fy(y), the CDF of Y ? (c) What is E[Y ]? (d) What is P(Y > 0)? (e) What is P(Y > 1/2|Y > 0)
The random variable W = X – 3Y + Z + 2 where X, Y and...
The random variable W = X – 3Y + Z + 2 where X, Y and Z are three independent Normal random variables, with E[X]=E[Y]=E[Z]=2 and Var[X]=9,Var[Y]=1,Var[Z]=3. The pdf of W is: Uniform Poisson Binomial Normal None of the other pdfs.
Let X be a continuous random variable rv distributed via the pdf f(x) =4e^(-4x) on the...
Let X be a continuous random variable rv distributed via the pdf f(x) =4e^(-4x) on the interval [0, infinity]. a) compute the cdf of X b) compute E(X) c) compute E(-2X) d) compute E(X^2)
Let Z denote the standard normal random variable. If P( 1 < Z < c )...
Let Z denote the standard normal random variable. If P( 1 < Z < c ) = 0.128,   what is the value of c ?