Please answer both questions and I WILL rate if your answers are correct.
1.
2.
1:
The given MGF can be written as:
It is MGF of normal distribution with parameters:
Correct option is F.
2:
It is pdf of Gamma distribution with parameters as follows:
Correct option is E.
Please answer both questions and I WILL rate if your answers are correct. 1. 2. (1...
(1 point) Given the MGF of random variable Wis M(t) = €2.4+-+15t provide the name of the distribution of W, as well as its parameters. Select all that apply. There may be more than one correct answer. A. normal(u = 2.4, o2 = 15) B. normallu = 15, o2 = 2.4) C. gamma(a = 4.8,B = 15) D. gamma(a = 15, B = 4.8) E. normal(u = 4.8, 02 = 15) OF. gamma(a = 15, B = 2.4) G. normallu...
Having troubles with question 2. Please help 2. If X has a Gamma distribution with parameters a and B, then its mgf is given by (a) Obtain expressions for the moment-genérating functions of an exponential random variable and of a chi-square random variable by recognizing that these are special cases of a Gamma distribution and using the mgf given above. (b) Suppose that X1 is a Gamma variable with parameters α1 and β, X2 is a Gamma variable with parameters...
Problem 2 [17 points]. Transformations! a) (5 points) Suppose the time, W, it takes to complete a technical task at a workshop has probability density function -w/2 f(w)y 0, 0, otherwise Using the appropriate transformation methods, find the density function for the a time it takes two workers to complete this technical task: S Wi + Ws b) (5 points) Derive the moment generating function of a standard normal randon variable. Use point form to explain each step in your...
(1 point) In Unit 3, I claimed that the sum of independent, identically distributed exponential random variables is a gamma random variable. Now that we know about moment generating functions, we can prove it. Let X be exponential with mean A 4. The density is 4 a) Find the moment generating function of X, and evaluate at t 3.9 The mgf of a gamma is more tedious to find, so l'll give it to you here. Let W Gamma(n, A...
Please answer both questions and I will rate if both answers are correct. Compute the following probabilities for the standard normal distribution Z B. P(-1.4 〈 Z 〈 0.15)- C. P(Z 〉-1.25)-
Let Y_1~Gamma(α=3,β=3), Y_2~Gamma(α=5,β=1), and W=2Y_1+6Y_2. a) (9 pts) Find the moment generating function ofW Justify all steps b) (3 pts) Based on your result in part (a), what is the distribution of W(name and parameters)? n 2N(O, I) 2. IfZ NO, 1), then Ux(1) 3. ItY Gmmaa,B) and W then Wx(n) - s, and i-1 7. y's~ Poisson(W (i-l, ,Rind) and U-ŽYi, then U-Poisson(XA) 8 If%-Gamma(a, β) (i-I, ,Rind) and U-ΣΥί , then U~Gamma( ,4 β).(Note: all same β) 9...
Consider the simplified Bayesian model for normal data The joint posterior pdf is ful, σ21 x)a(σ2,-/2-1 expl_jy.tx, _aPI The marginal posterior pdfs of μ and σ 2 can be obtained by integrating out the other variable (8.30) y@1 x) α (σ2)-m;,-1/2 expl-- Σ.-tri-x)2 (8.31) d. Let q1 and q2 be they/2 and 1-y/2 quantiles of (8.31). Show that the 1-γ credible interval (gi,q2) is identical to the classic confidence interval (5.19) (with ar replaced by y). Hence, a (1-α) stochastic...
3. [Multiple Choice Questions (4 points per question, 32 points in total): Please answer the following questions. 3.1 There is a random variable X with observations 3.5 Which of the following is implied from the law [X,,X2,...,X). It is known that these observations follow the normal distribution with mean μ and variance σ2. Which of the following will lead to a c? of large numbers? (a) If we have a sufficiently large number of observations, its sample mean is close...
Please help me verify if these answers are correct, if not answer them correctly. A sociologist randomly selects single adults for different groups of three, and the random variable x is the number in the group who say that the most fun way to flirt is in person. Determine whether a probability distribution is given. If a probability distribution is given, find its mean and standard deviation. If a probability distribution is not given, identify the requirements that are not...
21 (1 point) If Y X and every Xi is i.i.d with a chi-squared distribution with 14 degrees of freedom, find the MGF of Y М()- What is the distribution of Y? Select all that apply. There may be more than one correct answer. А. gатта(а - 147, 8 В. датта(а — 2, В — 294) с. датта(а — 1,8— 1/147) D. gamma(a 1, B 1/294) E. chi squared(df 294) F. еzрoпential(A — 204) G. exponential(A 147) H. chi squared(df...