Let X be an exponential r.v. (a) Find and plot Fx (2|X >t). How does Fx(2|X...
1 x Suppose X has an exponential distribution, thus its pdf is given by fx (x) = 5e8,0 5x<0, 2> 0;0 0.w. a. Find E(X) b. Find E(X(X-1) c. Find Var (x)
Fx(x) L - - +--- - + -2 -1 1 2 CDF Ex(x) Let X have CDF Fx(2) shown in a) Find P[X > 0.5] and P[X > 1). b) Find E[X].
Let random variable X follows an exponential distribution with probability density function fx (2) = 0.5 exp(-x/2), x > 0. Suppose that {X1, ..., X81} is i.i.d random sample from distribution of X. Approximate the probability of P(X1+...+X81 > 170). A. 0.67 B. 0.16 C. 0.33 D. 0.95 E. none of the preceding
Let X, Y be two independent exponential random variables with means 1 and 3, respectively. Find P(X> Y)
Exercise 4.9. Let X ~ Poisson(10). (a) Find P(X>7). (b) Find P(X < 13 X > 7).
2. Let Xn, n > 1, be a sequence of independent r.v., and Øn (t) = E (eitX»), ER be their characteristic functions. Let Yn = {k=0 Xk, n > 0, X0 = 0, and 8. () = {1*: (),ER. k = 1 a) Let t be so that I1=1 løk (t)) > 0. Show that _exp{itYn} ?, n > 0, On (t) is a martingale with respect to Fn = (Xo, ...,Xn), n > 0, and sup, E (M,|2)...
5.1 Let fx(x) be given as fx(x) = Ke-x"Au(x), where A = (1, ..., I T with li > O for all i, x = (21,...,27), u(x) = 1 if r;>0, i=1,...,n, and zero otherwise, and K is a constant to be determined. What value of K will enable fx(x) to be a pdf? diena - co ma wana internetow
Let X be an exponential random variable such that P(X < 27) = P(X > 27). Calculate E[X|X > 23].
-3x > 0 An exponential distribution is given by f(x) zero, x <0 Find the distribution of the random variable Y X2
3. Suppose that X has pdf fx(x) = 3, x > 1 and Y has pdf 24» fy(y) = ¡2, x 〉 1. Suppose further that X and Y are inde- pendent. Calculate the P(X 〈 Y).