Applied Statistics and Probability for Engineers

176 CHAPTER 5 JOINT PROBABILITY DISTRIBUTIONS

If Xand Yare independent random variables,

XYXY 0 (5-31)

EXAMPLE 5-31 For the two random variables in Fig. 5-16, show that XY0.

The two random variables in this example are continuous random variables. In this case

E(XY) is defined as the double integral over the range of (X, Y). That is,

Also,



2

16

£y^3 3 `

4

0

§

1

8

364 34  8 3

E 1 Y 2 

4

0



2

0

y fXY 1 x, y 2 dx dy

1

16

(^) 
4
0

y^2 £

2

0

x dx§ dy

1

16

(^) 
4
0
y^2 £x^2 2 2 0 § dy  1 16 £y^2 2
4
0
§ 38 34 
1
6
316 24  4 3

E 1 X 2 

4

0



2

0

x fXY 1 x, y 2 dx dy

1

16

(^) 
4
0

£

2

0

x^2 dx§ dy

1

16

(^) 
4
0
£x^3 3 2 0 § dy  1 16 (^)  4 0 y^2 38 34 dy 1 6 £y^3 3
4
0
§
1
6
364 34  32 9

E 1 XY 2 

4

0



2

0

xy fXY 1 x, y 2 dx dy

1

16

(^) 
4
0

£

2

0

x^2 y^2 dx§ dy

1

16

(^) 
4
0
y^2 £x^3 3 `
2
0
§
Figure 5-16 Random variables
with zero covariance from Example
5-31.
1
1
2
3
y
2
x
4
0
fXY(x,y) = xy 161
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