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- Let X1, , Xn be iid with population density Je (z Sx(x) = r > 0, otherwise. Here 0 is an unkown population parameter. Show that X-0 has an Exponential(1) distribution. Find the method of moment estimator for 0. Let's call this 6. Is ôj unbiased for 0 ? Explain with precise computation. Find the maximum likelihood estimator for 6. Let's call this Ô2. Is ô, unbiased for 0 ? Explain with precise conputation.Let X be the sample mean of a random sample of size 25 from a gamma distribution with density: 1 6,30 -x³e-x/³, x>0. Use the central limit theorem to find an approximate .954 confidence interval for 43, the mean of this distribution. f(x) =Please do c and d
- Let X1, , Xµ be iid with population density (1 0) I>0, Sx(x) = %3D otherwise. Here 0 is an unkown population parameter. 0 has an Exponential(1) distribution. Find the method of moment estimator for 0. Let's call this 6. Is ô unbiased for 0 ? Explain with precise computation. Show that X Find the maximum likelihood estimator for 0. Let's call this 62. Is ô2 unbiascd for 0 ? Explain with precise computation.Let f, g be probability densities such supp(f) c supp(g). show yes X1, ... , Xn X1,..., X, iid. L(g) then f(X;) W; = g(X;) is hopeful 1. Argue why the weights need to be re-normalized even when the normalization constants of the densities f and g are known.Suppose that X is a random variable having the following probability density function given by (2(0-x) x>0 f(x) = elsewhere Find the value of c such that an interval from x to cx is a (1-a)100% confidence interval for the parameter 8.
- If X has probability density function f(x) = X/32 on [0, 8], find the expected value and the standard deviation of X. Give your answer either as a irreducible fraction or a decimal number accurate to 2 decimal places. E(X) = std(X) =Suppose that a random variable X has the following probability density function. SC (64-x²) 0 ≤ x ≤ 8 otherwise f(x) = {C Find the expected value of X. (You will need to find the value of the constant C so that f is a pdf.)please teach this
- a) Suppose that X is a random variable having the following probability density function given by (2(0-x) 02 f(x) = -, x > 0 (0, elsewhere Find the value of c such that an interval from x to cx is a (1- a)100% confidence interval for the parameter 0.The random variable X has expected value E(X)=4 and Var(X)=4. Here, we want to approximate the probability that X lies in the interval [3.4,5.4] using a transformation to a standard normal distribution Z. Then we will need to calculate the probability that Z lies in the interval [z1,z2] where z1= z2= Suggest z1 and z2 Do NOT attempt to make any sort of continuity correction.PLease Show all work so I can Understand