Question 2
(a) Suppose X ∼ N(μ, σ) and Z ∼ N(0, 1). The moment
generating
function (m.g.f) of X is given by e^ut+1/2t^2σ^2
(i) What is the m.g.f of Z. [2 Marks]
(ii) If Y = cZ +d, where c and d are constant, find the m.g.f of Y
and
hence the distribution of Y. [4 Marks]
(b) Suppose a random variable X follows a geometric distribution
with pmf
p(x) = p(1−p)^(x−1), x = 1, 2, 3, ..., find the m.g.f of X and
hence use the
m.g.f to obtain the mean and variance of X. [4 + 3 + 5 Marks]
Question 2 (a) Suppose X ∼ N(μ, σ) and Z ∼ N(0, 1). The moment generating...
Let μ=E(X), σ=stanard deviation of X. Find the probability P(μ-σ ≤ X ≤ μ+σ) if X has... (Round all your answers to 4 decimal places.) a. ... a Binomial distribution with n=23 and p=1/10 b. ... a Geometric distribution with p = 0.19. c. ... a Poisson distribution with λ = 6.8.
problems binomial random, veriable has the moment generating function, y(t)=E eux 1. A nd+ 1-p)n. Show that EIX|-np and Var(X) np(1-p) using that EIX)-v(0) nd E.X2 =ψ (0). 2. Lex X be uniformly distributed over (a b). Show that ElXI 쌓 and Var(X) = (b and second moments of this random variable where the pdf of X is (x)N of a continuous randonn variable is defined as E[X"-广.nf(z)dz. )a using the first Note that the nth moment 3. Show that...
Let X be a random variable which follows truncated binomial distribution with the following p.m.f. P(X=x) =((n|x)(p^x)(1−p)^(n−x))/(1−(1−p)^n), if x= 1,2,3,···,n. •Find the moment generating function (m.g.f.) and the probability generating function(p.g.f.). •From the m.g.f./p.g.f., and/ or otherwise, obtain the mean and variance. Show all the necessary steps for full credit.
4. The moment generating function of the normal distribution with parameters μ and σ2 is (t) exp ( μ1+ σ2t2 ) for -oo < t oo. Show that E X)-ψ(0)-μ and Var(X)-ψ"(0)-[ty(0)12-σ2. 5. Suppose that X1, X2, and X3 are independent random variables such that E[X]0 and ElX 1 for i-12,3. Find the value of E[LX? (2X1 X3)2] 6. Suppose that X and Y are random variables such that Var(X)-Var(Y)-2 and Cov(X, Y)- 1. Find the value of Var(3X -...
Please explain very carefully!
4. Suppose that x = (x1, r.) is a sample from a N(μ, σ2) distribution where μ E R, σ2 > 0 are unknown. (a) (5 marks) Let μ+σ~p denote the p-th quantile of the N(μ, σ*) distribution. What does this mean? (b) (10 marks) Determine a UMVU estimate of,1+ ơZp and justify your answer.
4. Suppose that x = (x1, r.) is a sample from a N(μ, σ2) distribution where μ E R, σ2 >...
(20 points) Suppose X~N(25, 81). That is, X has a normal distribution with μ-25 and σ-81 la. Find a transformation of X that will give it a mean of zero and a variance of one (ie., standardize X lb. Find the probability that 18 < χ < 26. lc. Supposing Y10 +5X, find the mean of Y ld. Find the variance ofY
Suppose a random variable X has the moment generating function: mx(t) = (2/5e)^t + (1/5e)^(2t) +(2/5e)^(3t) Find the mean, variance, and PDF of X using the moment generating function.
Find the moment generating function for the following
distributions: N(μ, σ2),
Poisson(λ), Gamma(α, β), Chi-square with k degrees of freedom, and
Geometric(p).
Question 7: Find the moment generating function for the following distributions: N(Lơ2 Poisson(A), Gamma(α, β), Chi-square with k degrees of freedom, and Geometric(p)
If X ~ N ( μ,σ^2) What is the range of X for the given Normal distribution?A) (0, 1, 2,…n) B) (-1,1) C) (-∞,∞) D) (1, 2, 3,…n) What is the mean of X for the given Normal distribution? A) μσ B) σ^2 C) μ σ^2 D) π What is the variance of X for the given Normal distribution? A) σ^2 B) σ C) μ D) π σ^2 What do you think will be a suitable expression for the standard...
Suppose x has a distribution with μ = 10 and σ = 2. (a) If a random sample of size n = 39 is drawn, find μx, σ x and P(10 ≤ x ≤ 12). (Round σx to two decimal places and the probability to four decimal places.) μx = σ x = P(10 ≤ x ≤ 12) = (b) If a random sample of size n = 56 is drawn, find μx, σ x and P(10 ≤ x ≤...