Table of Contents
Advertisement
C H A P T E R 7
Understanding the tables and graphs
P a g e 7 . 4
G e t t i n g
S t a r t e d
The same principle of calculation applies to the distribution statistics standard
deviation, skewness and kurtosis.
For "mono-size" distributions such as latex the distribution mean is reported as
the geometric mean of the size class and standard deviation, skewness and kurtosis
are reported as zero.
The procedure used for other parameters of the distribution is to create a spline fit
to the fundamental result. Intermediate values are then read off this curve
allowing interpolation of percentile points which do not coincide with the
measurement size band boundaries.
When you have finally completed your analysis you will probably print out a
report from one of the standard views described in the previous chapter. Many of
the measurement statistics and information given are common to most of the
views. Within this section we will explain in simple terms the meaning of these
items, and where possible, give advice on the ideal values they should be reporting
if your analysis is correct.
The result from the analysis is the distribution of particles using the set of size
classes that have been determined by the design of the detector. The detector has
been designed for the optimum arrangement of size classes. It is from this basic
distribution that other statistics are calculated. As stated above, a spline curve is
also fitted to the basic result that allows a result from in-between the size classes
to be determined. The various graphs and report types such as oversize,
undersize, frequency curve and histograms are obtained from this fitted curve.
20
2
10
3
0
10.0
The graph above shows the various graph types available.
Volume %
100.0
Particle Diameter (µ m.)
100
90
1
80
70
60
50
40
4
30
20
10
0
M A N
0 1 0 1
Advertisement
Table of Contents
