Caption: FIGURE 3: Distribution of dry biomass and abundance in
class intervals of 10 cm (Area 1: 2007-2008).
Class intervals were determined using the Spiegel equation: CI = A/NC, where A = amplitude, NC (number of classes) = 1 + 3.3 log (n) and n = number of individuals (Felfili, 1995).
However, observed soil data were tested for their occurrence within expected FSL class boundaries, for both 'wide' and 'narrow'
class intervals. This was done to assess the degree to which apparent FSL accuracy is affected by the generous widths of the 'wide' interval.
Most individuals (91.2%) were encountered in the
class intervals between 8.0 and 18.0 mm CW (Fig.
In order to determine any changes in the prevalence of various ranges of rock burst effects, we calculated the incidence of absolute, relative and cumulative ranges, grouped in
class intervals at increments of 10 m, 25 m and 50 m.
The data illustrated that frequency of access across the various
class intervals, of podcasts was not equitably distributed during both years.
The rent intervals from this initial classification were used as
class intervals for plotting the histogram.
To apply this role, one first forms a frequency table containing counts of the number of observations falling into (usually, equally sized)
class intervals; in our example, we considered 30 intervals (Table 1).
Perching height (in m) Resting Orientation
class intervals substrate 1 - 1.5 m (3) Tree trunk (12) Upwards (14) 1.5 - 2 m (12) Tree hole (12) Downwards (11) 2 - 2.5 m (16) Branches (9) Right side (5) 2.5 - 3 m (2) Leaves (1) Left side (4) Perching height (in m) Conspecific Inter-specific
class intervals interaction interaction 1 - 1.5 m (3) Calling (7) Antagonistic (1) 1.5 - 2 m (12) Foraging (6) Avoidance (4) 2 - 2.5 m (16) Feeding (2) Inquisitive (0) 2.5 - 3 m (2) Courtship (1) None (1)
Upper limits of the
class intervals must be transferred to values of the standard variable
Coded data were entered into a Microsoft Excel spreadsheet, and the 16 individual years under study were aggregated into 4-year convenient
class intervals (i.e., 1994-1997, 1998-2001, 2002-2005, 2006-2009) for subsequent trend analysis.
In the above formula, df refers to the number of degrees of freedom, I is the number of
class intervals being compared during analysis and p is the number of parameters estimated for defining the distribution.