Table 1 Column 1 Column 2 Column 3 Profits S1,000s) Project A Probability (% 10 Project...
Table 1. Column 1 Column 2 X Column 3 Y Profits ($1,000s) Project A Probability (%) Project B Probability (%) $ 20 10 10 40 15 15 60 50 25 80 15 40 100 10 10 Use the mean – variance approach to compare prospects X and Y. Comment and explain which project dominates according to this criterion. Use the probability criteria to compare prospects X and Y. Comment and explain which project dominates according to this criterion. Assume the...
A firm is considering two projects, A and B, with the probability distributions of profits presented in the first three columns of Table 1. Denote the profit of project A as random variable X, and its distribution functions as F(x). Denote the profit of Project B, as random variable Y, distribution function G(y). Table 1. Column 1 Column 2 X Column 3 Y Profits ($1,000s) Project A Probability (%) Project B Probability (%) $ 20 10 10 40 15 15...
Question 4: Let X and Y be two discrete random variables with the following joint probability distribution (mass) function Pxy(x, y): a) Complete the following probability table: Y 2 f(x)=P(X=x) 1 3 4 0 0 0.08 0.06 0.05 0.02 0.07 0.08 0.06 0.12 0.05 0.03 0.06 0.05 0.04 0.03 0.01 0.02 0.03 0.04 2 3 foy)=P(Y=y) 0.03 b) What is P(X s 2 and YS 3)? c) Find the marginal probability distribution (mass) function of X; [f(x)]. d) Find the...
2.1 Let X be a discrete random variable with the following probability distribution Xi 0 2 4 6 7 P(X = xi) 0.15 0.2 0.1 0.25 0.3 a) find P(X = 2 given that X < 5) b) if Y = (2 - X)2 , i. Construct the probability distribution of Y. ii. Find the expected value of Y iii. Find the variance of Y
c 3. Let X have density fx () = 1+1 -1<<1. (a) Compute P(-2 < X <1/2). (b) Find the cumulative distribution Fy(y) and probability density function fy(y) of Y = X? (c) Find probability density function fz() of Z = X1/3 (a) Find the mean and variance of X. (e) Calculate the expected value of Z by (i) evaluating S (x)/x(x)dr for an appropriate function (). (ii) evaluating fz(z)dz, pansion of 1/3 (ii) approximation using an appropriate formula based...
Answer the following questions: The team A has a winning probability whenever it plays. If the team plays 4 games then find the probability that A wins: (i) Only two games. (ii) At least one game. (iii) More than half of the games. (iv) What is the expected value and the standard deviation of the number of winning? (II) If X is a random variable with a distribution function: (x2+4x+8). F(x) = {322 -CsxsC cis constant. otherwise then find the...
Let X have probability density function f(2)= k(1+x) -3 for 0 < x < oo and f(x) = 0 elsewhere. a. Find the constant k and Find the c.d.f. of X. b. Find the expected value and the variance of X. Are both well defined? c. Suppose you are required to generate a random variable X with the probability density function f(x). You have available to you a computer program that will generate a random variable U having a U[0,...
Consider the following discrete probability distribution. x P(x) 1 0.25 2 0.30 3 0.45 Calculate the expected value, variance, and standard deviation of the random variable. Let y=x+5. Calculate the expected value, variance, and standard deviation of the new random variable. What is the effect of adding a constant to a random variable on the expected value, variance, and standard deviation? Let z=5x. Calculate the expected value, variance, and standard deviation of the new random variable. What is the effect...
Let p(z)=1/5 be the probability distribution function for random variable X with z=5, 10, 15, 20, 25. Find the mean and variance of Z..
Distributions Consider the function f(x)3+1-2-4 0334 (a) Can this function be used as a probability density function? If not, normalize it such that it can, and let that be p(x) (b) Create a CDF of your probability density function, p(x) (c) Compute the expected value and variance of p(z) (d) What is the 90th percentile value of p() Distributions Consider the function f(x)3+1-2-4 0334 (a) Can this function be used as a probability density function? If not, normalize it such...