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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Topic: Joint probability distributions
Find and show work for:
f(1,1)
f(2,0)
f(0,0)
![96
Chapter 3 Random Variables and Probability Distributions
5, it will become clear that the joint probability distribution of Table 3.1 can
be represented by the formula
f(x, y)
Y
=
for x = 0, 1, 2; y = 0, 1, 2; and 0 ≤ x + y ≤ 2.
(b) The probability that (X, Y) fall in the region A is
P[(X, Y) € A] = P(X + Y ≤ 1) = ƒ(0,0) + ƒ(0, 1) + ƒ(1, 0)
3 3 9 9
28 14 28
14*
3
(31) (1) (2_2-y)
(8)
= + +
f(x, y)
0
1
2
Table 3.1: Joint Probability Distribution for Example 3.14
Column Totals
0
3
28
3
=
14
1
28
X
1
9
28
3
14
0
2
3
28
0
0
5
15
3
14 28 28
Row
Totals
15
28
1
28
1
When X and Y are continuous random variables, the joint density function
f(x, y) is a surface lying above the xy plane, and P[(X, Y) € A], where A is any
region in the xy plane, is equal to the volume of the right cylinder bounded by the
base A and the surface.](https://content.bartleby.com/qna-images/question/53be2c08-b5df-4492-b805-ccec7f62b780/77c67ef1-9470-42e9-9ee0-5a57375f6589/0xt50eb_thumbnail.png)
Transcribed Image Text:96
Chapter 3 Random Variables and Probability Distributions
5, it will become clear that the joint probability distribution of Table 3.1 can
be represented by the formula
f(x, y)
Y
=
for x = 0, 1, 2; y = 0, 1, 2; and 0 ≤ x + y ≤ 2.
(b) The probability that (X, Y) fall in the region A is
P[(X, Y) € A] = P(X + Y ≤ 1) = ƒ(0,0) + ƒ(0, 1) + ƒ(1, 0)
3 3 9 9
28 14 28
14*
3
(31) (1) (2_2-y)
(8)
= + +
f(x, y)
0
1
2
Table 3.1: Joint Probability Distribution for Example 3.14
Column Totals
0
3
28
3
=
14
1
28
X
1
9
28
3
14
0
2
3
28
0
0
5
15
3
14 28 28
Row
Totals
15
28
1
28
1
When X and Y are continuous random variables, the joint density function
f(x, y) is a surface lying above the xy plane, and P[(X, Y) € A], where A is any
region in the xy plane, is equal to the volume of the right cylinder bounded by the
base A and the surface.
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