quantities that are restricted to having only positive values. In addition, fY (y)
takes many different sh apes for different values of mX and X ( x > 0). As seen
from Figure 7.9, the pdf of Y is skewed to the right, this characteristic becoming
more pronounced as X increases.
It is noted that parameters mX and X appearing in the pdf of Y are the
mean and standard deviation of X, or ln Y, but not of Y. To obtain a more
natural pair of parameters for fY (y), we observe that, if medians of X and Y are
denoted by X and Y , respectively, the definition of the median of a random
variable gives
or
Since, owing to the symmetry of the normal distribution,
we can write
02 4 6 8
0.0
0.5
1.0
1.5
y
2
X= 0.1
2
X= 0.3
2
X= 1.0
fY(y)
Figure 7. 9 Lognormal distribution, fY (y), with mX 0, for several values of^2 X
210 Fundamentals of Probability and Statistics for Engineers
σ
σ
σ
0 : 5 P
YYP
XlnYP
XX;
lnYX:
7 : 45
XmX;
mXlnY:
7 : 46