94 Fractures and hemispherical projection
6-
O 5-
1 3-
p 4-
2-
1-
oi
91
0.0-1.0 1.0-2.0 2.0-3.0 3.0-4.0
Length, x
+ Frbability density,
I b
Length, x
Figure 7.5 Distribution of lengths between fracture intersections along the scanline in
Fig. 7.3.
f(x) = Ach where h is the mean frequency, the mean and standard
deviation values for the intact rock lengths can be established. The
definition of the mean, i, using probability theory for continuous dis-
tributions is X = [Sxf(x)dx]/[J f(x)dx]. In the case of the negative
exponential distribution with f(x) = he-Ax, with the limits of integra-
tion being taken as zero and infinity, and knowing that the integral
1: f(x)dr = 1 (because the total probability is equal to unity), we find
that X = $rxAe-Axdx = l/h.
The variance, u2, of a probability distribution is defined as
$(x -X)2f(x)dx, so for the case of a negative exponential distribution we
have
02 = (x - (l/h))2Ae-A"&
00
which reduces to 1/X2.
Thus, the standard deviation4, (T, is also l/h. This means that for the
negative exponential distribution the mean and standard deviation are
Note that the symbols used here for the mean and standard deviation of a population
are f and u. Thus, the symbol (J is used in this book for both a stress component and
the standard deviation of a statistical population. Because u is used here in a specific
statistical context, there should be no confusion -we will not be discussing the standard
deviation of stress components.