Note: To avoid retrieving data for every standard in your database, (and starting a search that could take several hours to execute), be sure to apply a data filter for specific standards.
How do statistical filters work?
A statistical filter will use the Rows defined by setting on the Rows tab to determine how data is retrieved and displayed on the dashboard. Each row on the dashboard can be defined by standards, processes (for attribute dashboards), or by a traceability field.
For each row item (standard, process or traceability value) that passes the data filter for this dashboard, the statistical filter will:
calculate statistics for this row
determine whether this row's statistics pass the statistical filter selected for this dashboard
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Example
The following is an example of a statistical filter that looks for data where the Percent out of Control is above 0:
Creating a statistical filter
Working with statistical filters is very similar to working with data filters. For more information, see Filter tab.
For a statistical filter of attribute data, two types of statistics are available:
Most statistics will analyze information for all defects found on each row of the statistical filter. This is true for all statistics except those beginning with "[Detail]".
Statistics that begin with "[Detail]" will only analyze information for the defects selected on the Detail Defects tab. This can be useful if you want to filter the database for items that contain particular defects.
Cost statistics for attribute data
A statistical filter of attribute data will use the default statistical settings for this configuration. However, if the configuration is set to Bypass cost to improve speed, you can override this option so that cost statistics will be calculated for dashboards. For more information, see Overriding the "Bypass cost" setting.