where
The theorems stated in this section do not apply in this case to the portions
v 1 <95Vandv 1 > 105V because in finite and noncountable number of roots
for v 1 exist in these regions. However, we deduce immediately from Figure 5.14
that
For the middle portion, Equation (5.7) leads to
Now,
We thus have
ThePDF, FV 2 (v 2 ), is shown in Figure 5.15, an example of a mixed distribution.
5.1.2 M oments
Having developed methods of determining the probability distribution of
Y g(X), it is a straightforward matter to calculate all the desired moments
134 Fundamentals of Probability and Statistics for Engineers
g
V 1 0 ; V 1 < 95 ;
g
V 1
V 1
95
10
; 95 V 1 105 ;
g
V 1 1 ; V 1 > 105 :
P V 2 0 P V 1 95 FV 1 95
Z 95
90
fV 1
v 1 dv 1
1
4
;
P V 2 1 P V 1 > 105 1
FV 1 105
1
4
:
FV 2
v 2 FV 1 g^1
v 2
FV 1
10 v 2 95 ; 0 <v 2 < 1 :
FV 1
v 1
v 1
90
20
; 90 v 1 110 :
FV 2
v 2
1
20
10 v 2 95
90
2 v 2 1
4
; 0 <v 2 < 1 :