2.1 Solve the below problem (show all calculations). Let Y, and Y, be random variables with joint density function f,y) - { Os y, s1, Osy; s1, 0sy; +y, S1 0, 2, elsewhere. The marginal density function of f1) = 2(1-y,), 0sy, s1 Identify the distribution of the marginal density function f(y,) and use it to find the E(Y;) and V(Y;).

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Question 2
2.1 Solve the below problem (show all calculations).
Let Y, and Y, be random variables with joint density function
Os y, s1, Osy, S 1, 0sy, +y, <1
elsewhere.
2,
ro,y) = {
0,
The marginal density function of f(yı) = 2(1– y,), 0s y, s1
Identify the distribution of the marginal density function f(yi) and use it to find the E(Y;)
and V(Y,).
2.2 Solve the below problem.
Table 1 contains the probabilities associated with each possible pair of values for Y,and Y2
and is known as the joint probability function for Y,and Y2
Table: Probability function for Y, and Y2
y1
yz 01 2
01/9 2/9 1/9
1 2/9 2/9 0
2 1/9 0 0
Find F(1,-2) and F(3,3).
2.3 BP petrol is to be stocked in a bulk tank once at the beginning of each week and then sold
to individual customers. Consider the joint density of Y,, the proportion of the capacity of the
tank that is stocked at the beginning of the week and Y2, the proportion of the capacity sold
during the week, given by
0 y2 s y1 S 1,
elsewhere.
3y,
3/4
In each week an average of 70% of the petrol is sold and an average of 30% of the petrol
remains in the Caltex bulk tank at the end of each week. In any given week of the year, what
is the probability that the amount of petrol sold during the week is more than the amount of
petrol that was stocked in the beginning of the week?
2.4 Complete the below statement.
If the covariance of two random variables is zero, the variables
2.5 Complete the below statement.
If two random variables are
the joint probability can be written as the
product of the marginal probabilities.
2.6 Solve the below problem:
Let Y, and Y, have joint density function
Se-Oi+y2),
fV1, Y2) =
0,
Yı 2 0, y2 2 0,
elsewhere.
2.6.1 Find the marginal density function for Y,. Identify this density. (3.5)
2.6.2 For any y, > 0, what is the conditional density function of Y,
given that Y2 = y2? (2.5)
:::
Transcribed Image Text:Question 2 2.1 Solve the below problem (show all calculations). Let Y, and Y, be random variables with joint density function Os y, s1, Osy, S 1, 0sy, +y, <1 elsewhere. 2, ro,y) = { 0, The marginal density function of f(yı) = 2(1– y,), 0s y, s1 Identify the distribution of the marginal density function f(yi) and use it to find the E(Y;) and V(Y,). 2.2 Solve the below problem. Table 1 contains the probabilities associated with each possible pair of values for Y,and Y2 and is known as the joint probability function for Y,and Y2 Table: Probability function for Y, and Y2 y1 yz 01 2 01/9 2/9 1/9 1 2/9 2/9 0 2 1/9 0 0 Find F(1,-2) and F(3,3). 2.3 BP petrol is to be stocked in a bulk tank once at the beginning of each week and then sold to individual customers. Consider the joint density of Y,, the proportion of the capacity of the tank that is stocked at the beginning of the week and Y2, the proportion of the capacity sold during the week, given by 0 y2 s y1 S 1, elsewhere. 3y, 3/4 In each week an average of 70% of the petrol is sold and an average of 30% of the petrol remains in the Caltex bulk tank at the end of each week. In any given week of the year, what is the probability that the amount of petrol sold during the week is more than the amount of petrol that was stocked in the beginning of the week? 2.4 Complete the below statement. If the covariance of two random variables is zero, the variables 2.5 Complete the below statement. If two random variables are the joint probability can be written as the product of the marginal probabilities. 2.6 Solve the below problem: Let Y, and Y, have joint density function Se-Oi+y2), fV1, Y2) = 0, Yı 2 0, y2 2 0, elsewhere. 2.6.1 Find the marginal density function for Y,. Identify this density. (3.5) 2.6.2 For any y, > 0, what is the conditional density function of Y, given that Y2 = y2? (2.5) :::
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