 |
Download a pdf copy of this help file here |
|
Download a pdf copy of this help file here |
See also:
The Pareto plot combines a histogram plot
and an ascending cumulative plot .
A Pareto plot of simulation data can be produced in ModelRisk by selecting
the variable in the Simulation Results window and clicking:
The figure below shows a typical plot:
The left-hand vertical axis relates to the histogram plot, the right-hand vertical axis refers to the cumulative plot.
More than one output can be shown together in the same plot, in which
case the histogram and cumulative components of the same output are color
coordinated.
It will generally be easier to read such a graph if the slider bars
are switched off by clicking:
allows you to copy the graph as a bitmap
image
to print the graph
to zoom in on part of the graph
to change the horizontal axis range
to change between line and bar plots
to switch sliders on/off
to define the position of sliders
to plot together the same variable for
multiple simulation runs
to turn the legend on/off
opens a comprehensive dialog
to edit the graph
Note: The most common mistake in interpreting a histogram is to read off the y-scale value as the probability of the x-value occurring. In fact, the probability of any x-value, given the output is continuous (and most are), is infinitely small. If the model’s output is discrete, the histogram will show the probability of each allowable x-value, providing the class width is less than or equal to the distance between each allowable x-value.
