


please help me 4. Let Xhave a r distribution with r >4 degrees of freedom. Find...
5. Let X have the T distribution with n degrees of freedom (abbreviated X = T(n)). Show that T2(n) = F(1, n),in other words, T2 has an F distribution with 1 and n degrees of freedom.
Let t be a t-random variable. P(t>a) 0.025 and 12 degrees of freedom. Find a. P(t < a) 0.05 and 21 degrees of freedom. Find a. P(-a < t<a) = 0.95 and 27 degrees of freedom. Find a. For 15 degrees of freedom, find P(t < 1.753) For 22 degrees of freedom, find P(-2.074 < t < 2.074). Use Excel function =t.dist to find P(t<-2.86) with df 25 Use Excel function =t.dist.rt to find P(t > 1.33) with df 29...
can someone help me solve both a and b?
Thanks.
Problem 4 Let S and T have the joint probability density function fs,T(8,t) = , 0<x<1, 52 <t<8 (a) Find marginal pdfs fs(s) and fr(t). (b) Find E(ST).
Consider a t-distribution with 22 degrees of freedom. Find the probability Pl - 1.717<t< 1.717). OA. 0.98 OB. 0.99 OC. 0.9 OD. 0.6 O E. None of the above O Click to select your answer o I Type here to search H
Let X have a T-distribution with 20 degrees of freedom, If P[c < X < 1.725] =.35 what is the value of c to the nearest third decimal place?
F(,r,), that is, W has an F distribution with 1) (a) How to define a r.v. W so that W n and r, degrees of freedom ? Now, let W F(r, 7). (3%) (b) What is the distribution of (2%) (c) Let F(,) be the upper a th quantile of the distribution of W. P(Wz F_(n,F))= a. (0<a<1). Prove that F.(.) = F_(r. ,r.) That is, I (%9) (d) Find P(F,, (,)sWs Fou i,)) (4%) 2) (a) How to define...
Let T have a (Student's) t distribution with 10 degrees of freedom. If P(T < k) = 0.95, what is the value of k?
Let 'c' represent the area under a t-distribution curve with eight degrees of freedom that lies between two values -tx and tx. Find the value of LaTeX: t_x t x that is associated to the following values of 'c'. (Round to 2 decimal places) a) c = 0.95, tx= b) c = 0.97, t x = c) c = 0.99, t x = d) c = 0.995, t x =
4. Let 8 >0. Let X, X2,..., X, be a random sample from the distribution with probability density function S(*;ð) - ma t?e-vor x>0, zero otherwise. Recall: W=vX has Gamma( a -6, 0-ta) distribution. Y=ZVX; = Z W; has a Gamma ( a =6n, = ta) distribution. i=1 E(Xk) - I( 2k+6) 120 ok k>-3. 42 S. A method of moments estimator of 8 is 42.n 8 = h) Suggest a confidence interval for 8 with (1 - 0) 100%...
5. Let X1, X2, ..., Xn be a random sample from a distribution with pdf of f(x) = (@+1)xº,0<x<1. a. What is the moment estimator for 0 using the method of moments technique? b. What is the MLE for @ ?