5. The amount of bread (in hundreds of kilos) that a bakery sells in a day...
The amount of bread (in hundreds pounds) x that a certain bakery is able to sell in a day is found to be a numerical value random phenomenon with probabilitydensity f(x) given byf(x)=kx for 0<=x,5=k(10-x) for 5<=x<10=0 else whereSo, find k and hence find the probability that the number of pounds of bread that will be sold tomorrow is
Bakery ABC sells bread for $2.1 per loaf that costs $0.78 per loaf to make. Bakery ABC knows that at the end of the day, he can sell all remaining bread for $0.45. Assuming Bakery ABC behaves optimally, what is the probability he would have a stockout each day? Note: If your answer is 12.345%, record 0.1235
3. Peterson's Bakery makes bread using two inputs: workers and machinery (ovens). In the short-run, the relationship between the number of workers and the bakery's output (loaves of bread) in a given day is as follows: Number of Workers Total Physical Product of Labor Marginal Physical Product of Labor 0 A5 65 80 85 6 82 a. (1.5 pt) Complete the Marginal Physical Product of Labor column in the table above and indicate each of the following regions (IMR, DMR,...
15. Let X and Y denote the lengths of life, in hundreds of hours, for co ponents of typesI and types II, respectively in an electronic system. The joint density of X and Y is given by Bre" (z +v)/2 f(z, y) = otherwise Find the probability that a component of type II will have a life lenght in excess of 200 hours. 16. Let the random variables X and Y have the joint p.d.f a. f(z,y)=ī, for (z,y) =...
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...
5. Let the joint probability density function of X and Y be given by, f(x,y) = 0 otherwise (a) Find the value of A that makes f (x, y) a proper probability density function (b) Calculate the correlation coefficient of X and Y. (c) Are X and Y independent? Why or why not?
5. Let X and Y be independent and identically distributed with marginal probability density function İf a> 0, otherwise, e-ea f(a)-( where >0 (a) [6 pts] Use the convolution formula to find the probability density function of X +Y (b) (6 pts) Find the joint probability density function of V= X + Y U=X+Y and
5. Let X and Y be independent and identically distributed with marginal probability density function İf a> 0, otherwise, e-ea f(a)-( where >0 (a) [6...
Exercise 5(SOA). A car dealership sells 0,1, or 2 cars on any day. When selling a car, the dealer also tries to persuade the customer to buy an extended warranty for the car. Let X denote the number of luxury cars sold in any given day and let y denote the number of extended warranties sold. We have: 1 12 P(X = 0, = 0) = 5; P(X = 1, Y = 0) = 12, P(X = 2, Y =...
3.5. Suppose that X and Tare independent, continuous random variables and that U-X+1. Denote their probability density functions by f(x), g(y) and h(u) and the corresponding cumulative probability functions by F(x), G(2) and H(u) respectively. Then For a fixed value of I, say T-y,this probability is F(u-), and the probability that I will lie in the range y to y+dy is g()dy. Hence the probability that Usu and that simultaneously Y lies between y and y+dy is F(u-)go)dy and so...
1. Let X be the amount of water in a two gallon container in the fridge of the Jones household at the start of the day and let Y denote the amount dispensed rom that two gallon container during that day. We assume that (X,Y) has joint density. f(x,y) = (xy)/2, 0<y<x<2. a. Find the marginal density of X. b. Find E(XY) c. find the conditional density off Y given X=x d. Are X and Y independent?