Beckman Coulter Navios, Instructions For Use Manual

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773232AH
10-141
Using Navios Software
Analysis Menu
10
Number
Total number of events in a Region.
% Total
Total number of events in region as a percentage of total events in the file.
% Gated
Total number of events in region, as a percentage of events in a gated display.
Mean
The Mean channel is the arithmetic mean channel defined as the sum of the region channel
numbers, times counts, divided by the integral of the region.
The Mean (or the average) is found when all selected events are added together and then divide by
the total number of events.
The Advanced button allows for the calculation of a Geometric mean.
CV
The CV is Standard Deviation divided by the mean of the data between the markers.
NOTE
Standard Deviation calculations are only valid between markers that have a Normal or Gaussian
distribution. CV is not strictly valid for any other shape distribution. CV is reported as ### on a log scaled
histogram. The derivation of CV can be found in any standard statistic text.
Median
Median is used to indicate the point on the scale of measures where the population is centered. The
median of a population is the point that divides the distribution of scores in half. Numerically, half
of the scores in a population have values that are equal to or larger than the median, and half have
values that are equal to or smaller than the median.
HP-CV
(HP X-CV and HP Y-CV) The Half Peak Coefficient of Variation (HP-CV) is derived by the fixed
mathematical relationship between the Standard Deviation (SD) and the Full Width Half Max
(FWHM) value of a Normal or Gaussian peak. The relationship between them is defined as
SD=FWHM/2.354.
This is an approximation to the real value of CV. The advantage of calculation HP-CV is that the value
remains fairly independent of the position of a pair of region markers, provided that the markers
are set either side of a peak and the marker channel counts are less than half the value of the peak
channel count. In general, the HP-CV approximation is usually smaller than the CV calculation. See
standard statistics texts for further explanation of HP-CV and CV differences. HPCV is primarily
indicated for bead alignment purposes which is performed using linear scaled data.