Question

Let X1,X2,...,X50 denote a random sample of size 50 from the distribution whose probability density function...

Let X1,X2,...,X50 denote a random sample of size 50 from the distribution whose probability density function is given by f(x) =(5e−5x, if x ≥ 0 0, otherwise If Y = X1 + X2 + ... + X50, then approximate the P(Y ≥ 12.5).

Homework Answers

Answer #1

Here Xi has exponential distribution with parameter 5. The mean of Xi is

----------------------------------------------------

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 X1, X2, ..., Xn be a random sample from a distribution with probability density function...
Let X1, X2, ..., Xn be a random sample from a distribution with probability density function f(x; θ) = (θ 4/6)x 3 e −θx if 0 < x < ∞ and 0 otherwise where θ > 0 . a. Justify the claim that Y = X1 + X2 + ... + Xn is a complete sufficient statistic for θ. b. Compute E(1/Y ) and find the function of Y which is the unique minimum variance unbiased estimator of θ. b.  Compute...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function as: f(x) = ( x 2 0 < x < 2, 0 otherwise. Let a new random variable be Y = min(X1, X2,). a) Use distribution function method to find the probability density function of Y, fY (y). b) Compute P(Y > 1).
Suppose that X1 and X2 are independent continuous random variables with the same probability density function...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function as: f(x) = ( x 2 0 < x < 2, 0 otherwise. Let a new random variable be Y = min(X1, X2,). a) Use distribution function method to find the probability density function of Y, fY (y). b) Compute P(Y > 1). c) Compute E(Y )
If X1 and X2 denote random sample of size 2 from Poisson distribution, Xi is distributed...
If X1 and X2 denote random sample of size 2 from Poisson distribution, Xi is distributed as Poisson(lambda), find pdf of Y=X1+X2. Derive the moment generating function (MGF) of Y as the product of the MGFs of the Xs.
Let X1, X2, . . . , X10 be a sample of size 10 from an...
Let X1, X2, . . . , X10 be a sample of size 10 from an exponential distribution with the density function f(x; λ) = ( λe(−λx), x > 0, 0, otherwise. We reject H0 : λ = 1 in favor of H1 : λ = 2 if the observed value of Y = P10 i=1 Xi is smaller than 6. (a) Find the probability of type 1 error for this test. (b) Find the probability of type 2 error...
Suppose that X1 and X2 denote a random sample of size 2 from a gamma distribution,...
Suppose that X1 and X2 denote a random sample of size 2 from a gamma distribution, Xi ~ GAM(2, 1/2). Find the pdf of W = (X1/X2). Use the moment generating function technique.
Let X1, X2,..., Xn be a random sample from a population with probability density function f(x)...
Let X1, X2,..., Xn be a random sample from a population with probability density function f(x) = theta(1-x)^(theta-1), where 0<x<1, where theta is a positive unknown parameter a) Find the method of moments estimator of theta b) Find the maximum likelihood estimator of theta c) Show that the log likelihood function is maximized at theta(hat)
Let Y1, Y2, …, Yndenote a random sample of size n from a population whose density...
Let Y1, Y2, …, Yndenote a random sample of size n from a population whose density is given by f(y) = 5y^4/theta^5 0<y<theta 0 otherwise a) Is an unbiased estimator of θ? b) Find the MSE of Y bar c) Find a function of that is an unbiased estimator of θ.
Let each of the independent random variables X1 and X2 have the density function f(x) -...
Let each of the independent random variables X1 and X2 have the density function f(x) - e^-x for 0<x< inf., and f(x) = 0, otherwise. What is the joint density of Y1 = X1 and Y2 = 2X1 + 3X2 and the domain on which this density is positive?
Let θ > 1 and let X1, X2, ..., Xn be a random sample from the...
Let θ > 1 and let X1, X2, ..., Xn be a random sample from the distribution with probability density function f(x; θ) = 1/xlnθ , 1 < x < θ. c) Let Zn = nlnY1. Find the limiting distribution of Zn. d) Let Wn = nln( θ/Yn ). Find the limiting distribution of Wn.