Question

the mgf of random variable x is mt find the E(X)

the mgf of random variable x is mt find the E(X)

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

TOPIC:Mgf and expectation of random variables.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The mgf of random variable X is M(t) = 0.39 e^{0.18t} + 0.24 + 0.37 e^{0.82t}....
The mgf of random variable X is M(t) = 0.39 e^{0.18t} + 0.24 + 0.37 e^{0.82t}. Find expected value of 40X and expected value of 40/(x+0.4)
Let f(x) = (1/2)^x, x = 1,2,3,... be the PMF of the random variable X. Find...
Let f(x) = (1/2)^x, x = 1,2,3,... be the PMF of the random variable X. Find the MGF, mean, and variance of X.
Let Y be a random variable with MGF: mY (t) = e (e t 2/2−1)10 =...
Let Y be a random variable with MGF: mY (t) = e (e t 2/2−1)10 = e (e t 2 2 −1)10 = exp((e((t^2)/2)− 1)10) = exp ((exp (t2 /2) − 1 )10) (The same expression has been written several times to hopefully make it readable.) Use Tchebysheff’s Inequality to give an upper bound on P(|Y | > 4).
Suppose that X is a normal random variable and E(X) = −3. Find Var(X) if P(−7...
Suppose that X is a normal random variable and E(X) = −3. Find Var(X) if P(−7 < X < 1) = 0.7888.
Define the variance of a random variable X to be V (X) = E[(X − E[X])2]....
Define the variance of a random variable X to be V (X) = E[(X − E[X])2]. Find the mean and variance of X if X ∼ Dunif({1, 3, 5, 7, 9}), by hand.
Consider X has to be a normal random variable with mean μ and variance σ2 and...
Consider X has to be a normal random variable with mean μ and variance σ2 and moment generating function(MGF) MGF (t) = exp(μt + σ2t2 /2) 1. Find the MGFof Y = ax+b, where a and b are non-zero constants 2. By inspection identify what distribution this is
(a) It is given that a random variable X such that P(X =−1) =P(X = 1)...
(a) It is given that a random variable X such that P(X =−1) =P(X = 1) = 1/4, P(X = 0) = 1/2. Find the mgf of X, mX(t) (b) Let X1 and X2 be two iid random varibles such that P(Xi =1)=P(Xi =−1)=1/2, i=1,2. Use the mgfs to prove that X and Y =(X1+X2)/2 have the same distribution
Let X be a continuous random variable uniformly distributed on the interval (0,2). Find E( |X-μ|...
Let X be a continuous random variable uniformly distributed on the interval (0,2). Find E( |X-μ| ) A. 1/12 B. 1/4 C. 1/3 D. 1/2
Let X be a continuous random variable with the following probability density function: f(x) = e^−(x−1)...
Let X be a continuous random variable with the following probability density function: f(x) = e^−(x−1) for x ≥ 1; 0 elsewhere (i) Find P(0.5 < X < 2). (ii) Find the value such that random variable X exceeds it 50% of the time. This value is called the median of the random variable X.
Find E(X),Var(X),σ(X) if a random variable x is given by its density function f(x), such that...
Find E(X),Var(X),σ(X) if a random variable x is given by its density function f(x), such that f(x)=0, if x≤0 f(x)=2x5, if 0<x≤1 f(x)=0, if x>1
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT