Compute E[X] if X has a density function given by 0 Otherwise If X is a...
4. Consider the probability density function (x)for x>0, and zero otherwise. Determine a. The value of a b. P(X> 22) C. e The value of x such that P(X<x)-0.1
1. Given a continuous random number x, with the probability density P(x) = A exp(-2x) for all x > 0, find the value of A and the probability that x > 1.
. (Ross 5.15) If X is a normal random variable with parameters μ-T0 and σ2-36, comput (a) P(X >5) (b) P(4 < X < 16) (c) P(X < 8) (d) P(X < 20) (e) P(X > 16)
Consider the random variable X whose probability density function is given by k/x3 if x>r fx(x) = otherwise Suppose that r=5.2. Find the value of k that makes fx(x) a valid probability density function.
8) Assume that X ~ N(μ = 4,02-1). Find c >0 such that P(-c 〈 X 〈 c) Find P(2 〈 X 〈 6) a. 0.95 b.
4. Let X be a continuous random variable with probability density function: x<1 0, if if| if x>4 f(x) = (x2 + 1), 4 x 24 0 Find the standard deviation of random variable X.
Exercise 5. The joint probability density function of X and Y is given by (X,Y)=9) Scy-re-y if y> 0 and -y, y) O otherwise (a) Find c. (b) Find the marginal densities of X and Y. (c) Are X and Y independent?
4. Let X and Y have joint probability density function f(x,y) = 139264 oray3 if 0 < x, y < 4 and y> 4-1, otherwise. (a) Set up but do not compute an integral to find E(XY). (b) Let fx() be the marginal probability density function of X. Set up but do not compute an integral to find fx(x) when I <r54. (c) Set up but do not compute an integral to find P(Y > X).
2.6.9 Let X have density function fx(x) = x/4 for 0 < x < 2, otherwise fx(x)=0. (a) Let Y = X. Compute the density function fy(y) for Y. (b) Let Z = X. Compute the density function fz(z) for Z.
Suppose that a random variable X has a (probability) density function given by 52e-2, for x > 0; f(x) = 0, otherwise, (i) Calculate the moment generating function of X. [6 marks] (ii) Calculate E(X) and E(X²). [6 marks] (iii) Calculate E(ex/2), E(ex) and E(C3x), if they exist. [3 marks] (iv) Based on an independent random sample X = {X1, X2, ..., Xn} from the dis- tribution of X, provide a consistent estimator for 0 = E(esin(\)), where sin() is...