
(4) (20 pts) Let X ~ Bernoulli(p). Define Z = 3x-1. (a) Is Z a random...
(5) [4 pts] Let XBernoulli(p). Define Z 3x-1. (a) Is Z a random variable? Why? (b) Show that E[Z] 2p (c) Show that Elz?] 4p. (d) What is the variance of Z?
7 Let X be a Bernoulli random variable with P(X = 1) = 4. Consider a sample from X of size n. Formulate both the LLN and the CLT. Remember that you must calculate the mean and the variance of X to answer this question
(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) 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) [6 pts] Let Y be a Bernoulli random variable with success probability Pr (Y 1 )p, and let Y, Yn be iid draws from this distribution. Let p be the fraction of successes (1's) in this sample. (a) Show that p Y. (b) Show that p is an unbiased estimator of p. (c) (1-p)/n Show that var (p)-p
2. Let X be a Bernoulli random variable with probability of X -1 being a. a) Write down the probability mass function p(X) of X in terms of a. Mark the range of a (b) Find the mean value mx(a) EX] of X, as a function of a (c) Find the variance σ剤a) IX-mx)2) of X, as a function of a. (d) Consider another random variable Y as a function of X: Y = g(X) =-log p(X) where the binary...
7. Let X1,....Xn random sample from a Bernoulli distribution with parameter p. A random variable X with Bernoulli distribution has a probability mass function (pmf) of with E(X) = p and Var(X) = p(1-p). (a) Find the method of moments (MOM) estimator of p. (b) Find a sufficient statistic for p. (Hint: Be careful when you write the joint pmf. Don't forget to sum the whole power of each term, that is, for the second term you will have (1...
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..
The Bernoulli random variable takes values 0 and 1, and has probability function f(x) = px (1 − p)1−x(a) By calculating f(0) and f(1), give a practical example of a Bernoulli experiment, and a Bernoulli random variable. (b) Calculate the mean and variance of the Bernoulli random variable.