3. (25 pts.) Let X1, X2, X3 be independent random variables such that Xi~ Poisson (A), i 1,2,3. Let N = X1 + X2+X3. (a) What is the distribution of N? (b) Find the conditional distribution of (X1, X2, X3) | N. (c) Now let N, X1, X2, X3, be random variables such that N~ Poisson(A), (X1, X2, X3) | N Trinomial(N; pi,p2.ps) where pi+p2+p3 = 1. Find the unconditional distribution of (X1, X2, X3). 3. (25 pts.) Let X1,...
Exercise 6 Let Yi, Y2, Ys be independent random variables with distribution N (i, i2) for i = 1, 2, 3 (that is, each is normally distributed with mean mean E(Y) = i and variance V(X) = i2). For each of the following situations, use the Y, i = 1, 2, 3 to construct a statistic with the indicated distribution a) X2 with 3 degrees of freedom b) t distribution with 2 degrees of freedom c) F distribution with 1...
2-3. Let ?>0 and ?? R. Let X1,X2, distribution with probability density function , Xn be a random sample from the zero otherwise suppose ? is known. ( Homework #8 ): W-X-5 has an Exponential ( 2. Recall --)-Gamma ( -1,0--) distribution. a) Find a sufficient statistic Y-u(X1, X2, , Xn) for ? b) Suggest a confidence interval for ? with (1-?) 100% confidence level. "Flint": Use ?(X,-8) ? w, c) Suppose n-4, ?-2, and X1-215, X2-2.55, X3-210, X4-2.20. i-1...
Let A > 0 be fixed and for each n - 1,2,3.., let Xn be a Binomial Random variable with parameters n, and pn -^. (i.e The number of trials is n and thıe success probability is pn --) (a) Write the moment-generating-function, Mx (t of X,. (You do not have to 72 derive it from scratch. You may use the general formula for the mgf of a binomial variable as provided in the appendix of the text). (b) Show...
Exercise 10.19 (Continuing Example 10.9). Repeat n times a trial with three outcomes 1,2,3 that appear with probabilities pi, p2, p3 with p p2 p3-1. Let Xi be the number of times outcome i appears in the n trials (a) Find the conditional joint probability mass function of (X2, X3), given Xim That is, find the probabilities nd the conditional joint probability mass tunction o P(X2k, X3-l|Xfor integers k, l. (b) Utilizing part (a, identify the conditional distribution ofXgiven X1-...
Let x = [X1 X2 X3], and let T:R3 → R3 be the linear transformation defined by x1 + 5x2 – x3 T(x) - X2 x1 + 2x3 Let B be the standard basis for R3 and let B' = {V1, V2, V3}, where 4 4. ---- 4 and v3 -- 4 Find the matrix of T with respect to the basis B, and then use Theorem 8.5.2 to compute the matrix of T with respect to the basis B”....
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1 < x2 < X3. Suppose that y = ax + by + c is a parabola passing through the three points (x1, yı), (x2, y), and (x3, Y3). We have that a, b, and c must satisfy i = ax + bx + C V2 = ax + bx2 + c y3 = ax} + bx3 + c Let D = x X2 1....
Random variables are independent of each other, where i=1,2,3 and that Calculate P(X1<X2<X3) X, ~ e.rp(λ.) We were unable to transcribe this image
Only 1-4) X, be a random sample from N(4,a ), , and let X and S be sample mean and sample 1. Let variance, respectively. In Order to show that and S are independent, tollow the steps below. and show the joint pdf of X,X3,*, X 1-1) Use the change of variable technique = Nx = x - is (п-1)5? п(т-и? f(E,x,) еxp ov2x 2a2 Use Jacobian for n x n variable transformation 1-2) Use the fact that X~N(u,a n)...
Let X1, X2, and X3 be a random sample from a discrete distribution with probability function g(x) =x/10 for x= 1, 2, 3, 4 and g(x) = 0 otherwise. What is P(X1< X2< X3)?