A candy company distributes boxes of chocolates with a mixture of creams, toffees and cordials. Suppose that the weight of each box is 1 kilogram, but the individual weights of the creams, toffees and cordials vary from box to box. For a randomly selected box, let X = weight of creams and Y =weights of the toffees and the pdf is described as: f(x,y) = 24xy - for(0<=x<=1),(0<=y<=1),(x+y)<=1) 0 elsewhere
a. Find the probability that in a given box, the cordials amount for more than half of the weight
b. Find the marginal density for the weight of the creams
c. Find the probability that the weight of the toffees in a box of less than 1/8 of a kilogram given that creams constitute.
A candy company distributes boxes of chocolates with a mixture of creams, toffees and cordials. Suppose...
1. Suppose the joint density of X and Y is given by f(x,y) = 6e-3x-2y, if 0 < x < inf., 0 < y < inf, 0 elsewhere. Part A, Find P( X < 2Y) Part B, Find Cov(X,Y) Part C, Suppose X and Y have joint density given by f(x,y) = 24xy, when 0<= x <=1, 0 <= y <=1, 0 <= x+y <=1, and 0 elsewhere. Are X and Y independent or dependent random variables? why?
The Jolly Company sells candy and issued an RFQ to purchase a line of chocolates that are made do their specifications. After inspecting the samples for quality, the following results were determined for the three suppliers (Supplier X, Supplier Y, and Supplier Z), as presented in Table 1 (below). Quality rating were determined by the look and taste of the samples. The quality of the samples from Supplier X, the low-cost supplier, did not taste and look nearly as good...
A manufacturing company measures the weight of boxes before shipping them to the customers. If the box weights have a population mean and standard deviation of 90 kg and 24 kg respectively, then based on a sample size of 36 boxes, the probability that the average weight of the boxes will be less than 84 kg is: Question 1 options: 0.0668 0.9332 0.0228 0.5312
5. Suppose that the joint pdf of the random variables X and Y is given by - { ° 0 1, 0< y < 1 f (x, y) 0 elsewhere a) Find the marginal pdf of X Include the support b) Are X and Y independent? Explain c) Find P(XY < 1)
4. Sixteen-ounce boxes of cereal are packed automatically by a machine. The boxes are sometimes overweight and sometimes underweight. The actual weight in ounces over or under 16 is a continuous random variable X whose probability density function is f(x) Ea-1 <x1, and 0 otherwise. Find the probability that a box of cereal packed by this machine will be between 0.4 ounces underweight and 0.7 ounces overweight.
Q5. Suppose the joint pdf of X, Y is given by f(x, y) zy/3 if 0 s S1 and 0 sy< 2 and f(x,y) elsewhere. a. Compute P(X+Y2 1). b. What is the probability that (X, Y) E A where A is the region bounded above by the parabola y 2 c. What is the probability that both X, Y exceeding 0.5? d. What is the probability X will take on values that are at least 0.2 units less than...
How to get the cdf when y>x>0? Thanks 6. The joint probability density function (pdf) of (X, Y) is given by 0y<oo, elsewhere. fxr, y) (a) Find the cumulative distribution function of (X, Y) (b) Evaluate P(Y < X2) (c) Derive the pdf of X and then compute the mean and variance of X (d) Find the pdf of Y and compute the mean and variance of Y (e) Calculate the conditional pdf of Y given X (f) Compute the...
4. I. Let Yǐ < ½ < ⅓ < Ya be the order statistics of a random sample of size n = 4 from a distribution with pdf f(x) 322, 0<< 1, zero elsewhere. (a) Find the joint pdf of Ys and Ya (b) Find the conditional pdf of Ys, given Y-y (c) Evaluate Evsl (d) Compute the probability that the smallest of the random sample exceeds the median of the distribution
The following joint probability distribution is given. 1. Find k such that the given function demonstrates the PDF. 2. Find Marginal distributions. 3. Evaluate ?(? < ? < 0) 4. Find the correlation coefficient between X and Y having the joint density functions:(.) ?(?,?) = {???2+?2 ??? ?2 + ?2 < 4 0 ?????h??? Question 2. (20 pts.) The following joint probability distribution is given. 1. Find k such that the given function demonstrates the PDF. 2. Find Marginal distributions....
(Sec 5.1) Suppose the joint pdf of two rvs X and Y is given by $15x2y for 0 < x sys1 f(x,y) = 10 otherwise (a) Verify that this is a valid pdf. (b) What is P(X+Y < 1)? (c) What is the probability that X is greater than .7? (Hint: it might help to find the marginal pdf first)