3.41 A candy company distributes boxes of choco- lates 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 cor- dials vary from box to box. For a randomly selected box, let X and Y represent the weights of the creams and the toffees, respectively, and suppose that the joint density function of these variables is [24xy, 0≤x≤ 1,0 ≤ y ≤ 1, x+y≤l, elsewhere. f(x, y) = (0,

3.41 A candy company distributes boxes of choco- lates 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 cor- dials vary from box to box. For a randomly selected box, let X and Y represent the weights of the creams and the toffees, respectively, and suppose that the joint density function of these variables is [24xy, 0≤x≤ 1,0 ≤ y ≤ 1, x+y≤l, elsewhere. f(x, y) = (0,

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 32E

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All I need help with is putting this function on a calculator Ti-89 Platinum. The answer is -2/75 but I don’t know how to put that in the calculator and get it right. Please help.

Question
4.83 Referring to the random variables whose joint
density function is given in Exercise 3.41 on page 105,
find the covariance between the weight of the creams
and the weight of the toffees in these boxes of choco-
lates.
3.41 A candy company distributes boxes of choco-
lates 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 cor-
dials vary from box to box. For a randomly selected
box, let X and Y represent the weights of the creams
and the toffees, respectively, and suppose that the joint
density function of these variables is
(24zy, 0≤x≤ 1,0 ≤ y ≤ 1, x + y ≤ 1,
elsewhere.
f(x, y) = 10,
Show transcribed data
F
10006 (4

Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.

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