2. Let X denote the number of times (1, 2, or 3 times) a certain machine...
Let X denote the number of times (1, 2, or 3 times) a certain machine malfunctions on any given day. 2. Let X denote the number of times (1, 2, or 3 times) a certain machine malfunctions on any given day. Let Y denote the number of times (1, 2, or 3 times) a technician is called on an emergency call. The joint probability distribution fxy(x, y) is given by 1 2 y 0.05 1 0.05 0.1 2 0.05 0.1...
10. Let X denote the number of times a certain numerical control machine will malfunction: 1, 2, or 3 times on any given day. Let Y denote the number of times a technician is called on an emergency call. Their joint probability distribution is given as 0.05 0.10 0.20 Evaluate the marginal distribution of X. flx, y) 1 1 0.05 y 3 0.05 5 0.00 0.10 0.35 0.10 a. b. Evaluate the marginal distribution of Y c. Find eXY-3/X -2)....
1. The joint probability density function (pdf) of X and Y is given by fxy(x, y) = A (1 – xey, 0<x<1,0 < y < 0 (a) Find the constant A. (b) Find the marginal pdfs of X and Y. (c) Find E(X) and E(Y). (d) Find E(XY). 2. Let X denote the number of times (1, 2, or 3 times) a certain machine malfunctions on any given day. Let Y denote the number of times (1, 2, or 3...
Let X denote the number of times a photocopy machine will malfunction: 0,1,2, or 3 times, on any given month. Let Y denote the number of times a technician is called onan emergency call. The joint p.m.f. p(x,y) is presented in the table below: y\. 0 1 2 3 0 0.15 0.30 0.05 0 1 0.05 0.15 0.05 0.05 2 0 0.05 0.10 0.05 Px(2) 0.20 0.50 0.20 0.10 py(y) 0.50 0.30 0.20 1.00 (a) Find the probability distribution of...
1) Let X and Y have joint pdf: fxy(x,y) = kx(1 – x)y for 0 < x < 1,0 < y< 1 a) Find k. b) Find the joint cdf of X and Y. c) Find the marginal pdf of X and Y. d) Find P(Y < VX) and P(X<Y). e) Find the correlation E(XY) and the covariance COV(X,Y) of X and Y. f) Determine whether X and Y are independent, orthogonal or uncorrelated.
3. Let X denote the temperature (°C) and let Y denote the time in minutes that it takes for the diesel engine on an automobile to get ready to start. Assume that the joint density for (X,Y) is given by fxy(x, y) = c(4x + 2y + 1),0 < x < 40,0 < y = 2 (a) Find the value of c that makes this joint density legitimate. (b) Find the probability that on a randomly selected day the air...
4. (20 points) Xavier and Yvette are real estate agents. Let X denote the number of houses that Xavier will sell in a month and let Y denote the number of houses Yvette will sel in a month with the following joint probabilities of (x, Y) 0.2 0.1 0.3 0.1 0.2 (a) Find the unconditional mean E (Y) (b) Find the unconditional variance V (Y) (c) Find the conditional means E (Y(X 0) and E (Y(X (d) Find COV (x,y)...
Q#1 Let X and Y are joint probability functions given by a- f(x, y) = *y*; x = 1, 2, 3; y = 1, 2 b- f(x,y) = 5%; x = 2,4,5; y = 1, 2, 3 Find the marginal probability functions of r.v X&Y also find out if X & Y are independent? Q#2 Let X denotes the number of times a certain numerical control machine will malfunction: 1, 2, or 3times on any given day. Let Y denote...
4. (20 points) Xavier and Yvette are real estate agents. Let X denote the number of houses that Xavier will sell in a month and let Y denote the uber of houses Yvette will sell in a month with the following joint probabilities of (X,Y) 0.1 0.2 0.2 0.3 0.1 (a) Find the unconditional mean E(Y) (b) Find the unconditional variance V (Y) (c) Find the conditional means E (YlX-0) and E(Y|X = 1). (d) Find COV (X, Y)
2. Let the pair (X,Y) have joint PDF fxy(x, y) = c, with 2.2 + y2 <1. (a) Find c and the marginal PDFs of X and Y. (b) What are the means of X and Y ? No calculations are needed, only a brief expla- nation is required. (c) Find the conditional PDF of Y given X = x and deduce E|Y|X = x]. (d) Obtain E(XY) and compare it to E[X]E[Y). (e) Are X and Y independent? Explain....