Complete solution for the problem can be found in the images below
with all the necessary steps.
Do give a thumbs up if you liked the solution. Thank You
:)
(a) Let X, have a chi-squared distribution with parameter V, and let X, be independent of...
(a) Let x, have a chi-squared distribution with parameter y, and let x, be independent of x, and have a chi-squared distribution with parameter vz Show that x2 + x, has a chi-squared distribution with parameter v, + vz Let y = x2 + x2. Identify the correct expression for Fyn). "1/2 - 2x212/2-12-(x1 + x2)/2 dx1 OFyly) = ' -X1/2 dx1 + -x212 dxz e 109) = 6 {1*(***) ** (*)*" + x2)120mg +6 (277(3)) -<*****@*)*** .(-)70%as C (7-(1)...
(a) Let Xl have etti-quered distribution with parameter 1, and let Xz be independent of Xi and have a chi-squared distribution with parameter vs. Show that X1 + X2 ha chi-squared distribution with perampeter v 1 + 2 Let Y - X1 + X2. Identify the correct expression for Fyl- 272-, -+ *>72 berland TW) Fly) -=6{c(770705 044-1673) (70). b 6{"(70X70. --*|(2713).(770). 674-0).* 6(7-7). orsan = $(307+972 () 1.17) F4n = 6" (+0312 (23 * * *2) -6(***317.65 -)) 8*(****)?:(,>>).**....
Assume that 2 and Z, are two independent random variables that follow the standard normal distribution N(0,1), so that each of them has the density - . - < < . Let X = 22 + 2 Z2, Y = 22 - Z2, S = x2 +Y, and R = xy (e) From (c), please find the densities of X? and Y? (f) From (d) and (e), please find the density of X2 +Y? (=S). (g) From (e), please find...
Question 1 Suppose x, = 1,2,3 has independent N(u,, 1) distributions such that 2, = , = 3u. Let 1 (2g + З23)?; q2 — k(3ӕ, — 2з)?; q 10 91= -G1) Suppose N (u, V); — (х1 х, х3); и 3 (M g and V x (central chi-squared distribution) 2p1 = plz = 3u3 and qa4 ~ (i) Determine whether q, has a chi-squared distribution (ii) Determine the degrees of freedom k and the noncentrality parameter A of q3...
#2 : Let X and Y be independent standard normal random variables, let Z have an arbitrary density function, and form Q = (X+ZY)/(V1+ Z2). Prove that Q also has a standard normal density function
Let Y~ xî (i.e. Y follows a chi-squared with 1 degree of freedom), let Xn = n-1/2 y - n1/2 (a) Show that Xn 4 X where X ~ N(0,2) (Hint: look up what is the mean and variance of a chi-squared distribution?) (b) n= 30. Find the exact P(Y > 43.8) using a chi-squared table. (c) Approximate P(Y > 43.8) for n = 30 using a normal approximation
PROBLEM 8: It is easy to show with mgf's that the sum of independent chi-squared random variables has a chi- squared distribution with degrees of freedom equal to the sum of the degrees of freedom associated with each of the random variables being summed. For example, if w (df -i) and all W's are independent, then Σ W,-X2 | df n(n+1 2 서 Now, suppose that X, N(i,i), and all X's are independent. Using your result in the previous problem...
9. Show that Y-Σ|-1 z? has a Chi-squared distribution with n degrees of freedom, where Z's are iid rvs from a standard normal distribution. (Prove it mathematically)
N(0, 1) and let S be a 4. Let Z random sign independent of Z, i.e., S is 1 with probability 1/2 and -1 with probability 1/2. Show that SZ N(0,1) 5. Let Z N(0, 1) and X = Z2. This distribution is called chi-square with degree of freedom. Calculate P(1 < X < 4) one N(0, 1) and let S be a 4. Let Z random sign independent of Z, i.e., S is 1 with probability 1/2 and -1...
Let X be chi-squared with k = 5 degrees of freedom. (a) What is P[X > 1]? (This exact calculation requires some serious integration) (b) Find P[X > 1] with the normal approximation, i. e., approximate that probability assuming X ~ N(mu, sigma squared), where mu and sigma squared are the mean and variance of a Gamma(5/2, 1/2).