2. Suppose that the CDF of X is given by Fur :53 e-3 for x <3 Fx)for 3 for r >3. 1 (a) Find the PDF of X and specify the support of X. (b) Given a standard uniform random variable U ~ uniform(0, 1), find a transformation g) so that X g(U) has the above CDF. (Hint: This entails the quantile function F-().)
2. Suppose that the CDF of X is given by Fur :53 e-3 for x 3....
5. Let fx(x) be a pdf given by fx(x) = (1/8)(e^(-x/8)) for x > 0. a) Find the CDF FX(x). b) Find P(X > 4) c) Find P(-2 ≤ X ≤ 12) d) Find P(X < 240) e) Find E(X) f) Find the standard deviation of 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)
For a continuous variable X with the following PDF: 0sxs2 fx (x) = {2' 0, otherwise (a) Determine the conditional PDF of X given that X>1. (b) Find the conditional CDF of X given that X > 1, and plot the corresponding figure with proper labels. [Note: Both the expression and the plot are required.]
5. (20 pts) Function of RV Let Ry X-Exponential(1),i.e.,the CDF is Fx (x) = (1 - )u(x). IEX = 9(x) = -2x + 1, find the CDF Fy (y) and the PDF fy(y).
For a random variable X with cumulative distribution function (cdf) Fx(x) = 1- (2/x)^2 ,x>2. (a).Find the pdf fX(x). (b).Consider the random variable Y = X^2. Find the pdf of Y, fY (y).
3. Let X has the following pdf: {. -1 <1 fx(a) otherwise 1. Find the pdf of U X2. 2. Find the pdf of W X
STAT 115 Let X be a continuous random variable having the CDF Fx(x) = 1 - e^ (-e^x) (1) Find the Probability Density Function (PDF) of Y=e^X. (2) Let B have a uniform distribution over (0,1). Find a function G(b) and G(B) has the same distribution as X.
y<-1 21. (12 pts) Suppose X is a random variable with CDF F1)/2 -1sy s1 y>1 A) Write PDF function of X? fx (x)- B) Find P(YSO.5)? C) Find Varl)
y1 A) Write PDF function of X? fx (x)- B) Find P(YSO.5)? C) Find Varl)
5-1. Let U - Uniform(0,1) and X = - In(1-U). Show that the CDF of X is Fx(x) = 1 -e*, 0<x<0 In other word, X is exponentially distributed with 1 = 1.