Given that amount of X has the P. d. f. given below
Question 23 1 pts The amount of time in hours that computers, produced by a manufacturer,...
question 4, 3 sub-questions Final2.jpeg iat probability density function is given by f(x, y (2(x2+ y'), 0<x <2, 0cy3 Find the marginal densities of X and Y. Lip 2 Are X and Y independent? 4p c. Find probability X + Y < i , P(X+Y < 1 ). The amount of time, in hours, that a computer functions before breaking down .b] uniformly distributed on [o is continuous random variable T
14. The lifetime (in hours) of a certain piece of equipment is a continuous random variable X having range 0 x0 and density function xe s(x)-100 0, otherwise (a) Show that this is a density function (b) Compute the probability that the lifetime exceeds 20 hours, Prix> 20.
Suppose X and Y are two continuous random variables with probability density functions: fx(x)1 for 1<x2, fx(x) 0 otherwise, and fr (v) 3e3y for y>0, fr (y) 0 otherwise. a) Suppose X and Y are independent, is Z-X+ Y"memoryless"? Justify your answer. b) Suppose that the conditional expected value satisfies E(Y X)-X. Find Cov0), and El(Y-X) expX)]. Suppose X and Y are two continuous random variables with probability density functions: fx(x)1 for 10, fr (y) 0 otherwise. a) Suppose X...
Question 2 (30 pts) Suppose that X is a continuous random variable with the following probability density function: 2 /(x) = (2 _-), for 3 < x 6 0, otherwise Develop a random-variate generator for the random variable X by using the inverse-transform technique.
The useful life of electrical circuits produced by your company has a uniform distribution defined by the probability density function: F(x) { 1/10 { 0 for x values between 1000 and 1100 hours everywhere else where x = values for the random variable “useful circuit life in hours” a. Determine the probability that useful circuit life will be between 1060 and 1085 hours. b. Determine the probability that useful circuit life will be at least 1020 hours. c. Determine the...
3. (25 pts) The life X, in hours, of a certain kind of electronic part has a probability density function given by fory 2100 f,(y) o, fory <100 (A) What is the probability that a part will survive 250 hours of operation? (B) Find the expected value of the random variable (C) Find the variance of the random variable if the probability density function is given by y 2100 0, y<100.
Question 1 A continuous random variable X which represents the amount of sugar (in kg) used by a family per week, has the probability density function c(x-102-x) 1sxs2 ; otherwise (0) (ii) (ii) Determine the value of c. Obtain cumulative distribution function Find P(X < 1.2). Consider the following cumulative distribution function for X. 06 0.8 1.0 Fx) 0.9 (i) Determine the probability distribution. (ii) Find P(X 1). (ii) Find P(OX5) Question 3 Consider the following pdf otherwise (i) (ii)...
The random variable x models the total time in hours for an individual to be served by two customer service staff working at the same rate. The probability density function is given by f(x)=4xe^-2x , x>0. 1.Derive the moment generating function 2. Hence or otherwise evaluate the expected service time. 3 find the probability that a customer is served within 1 hour. B. Find the moment generating function of f(x)=1/2e^-|x|, - infinity < x < infinity
Question 4 A continuous random variable X which represents the amount of sugar (in kg) used by a family per week, has the probability density function (x)-{06r' + 18x-12 ; ishervise : otherwise (iv) Determine the mean and variance of X (v) Determine Var (4X?). Question 5 Consider the following probability distribution for X 30.3 10.2 0.2 0.1 (i) Find E(X). (ii) Find E(2x +4x). (ii) Determine the MGF of X (iv) Calculate Var (X) using MGF ofx Question 6...
Example 7 The amount of electricity (in hundreds of kilowatt-hours) that a certain power company is able to sell in a day is found to be a random variable with the following probability density function (pdf): kx k(10-x): 0: 0sxs5 5 x 10 elsewhere n) = (i) (ii) Find the value of k. What is the probability that the amount of electricity that will be sold is more than 600 kilowatt-hours. (ii) What is the probability that the amount of...