These settings apply only to the control charts and capability analyses for this measure. To change the system default preferences, go to Control chart preferences and Capability analysis preferences.
These control chart settings apply to each station of the measure and override the control chart settings for each station.
Enter a value to use as the same subgroup size for all samples of the data collections.
The control chart type and subgroup size must be the same at each station of the measure.
If you have a particular defective type that you want to monitor on its own control chart, you must set it up as a defective measure. If you have multiple defective types that you want to monitor together, aggregated on a single control chart, you must set it up as a grouped defective. For more information, go to Group quality attributes or monitor separately.
Control limits are the horizontal lines above and below the center line that are used to judge whether a process is out of control. The upper and lower control limits are based on the random variation in the process. By default, the control limits are displayed 3 standard deviations above and below the center line.
Real-Time SPC provides eight tests for special causes for control charts with continuous data and four tests for special causes for control charts with attribute data. Use the tests to determine which observations to investigate, and to identify the specific patterns and trends in your data. By default, Real-Time SPC uses only Test 1. Select additional tests based on company or industry standards.
To learn about the test options or to change the test preferences for all control charts, go to Control chart preferences.
This setting applies to each station of the measure and overrides the capability settings for each station.
Most often, it is best to use engineering and historical knowledge of your process to identify a distribution that fits your process data. However, Minitab® Statistical Software has many tools, such as Individual Distribution Identification, that can help you assess the fit of various distributions.
This setting applies only to the capability analysis for this measure. Changing transformation settings here will not affect the analyses preferences. To change the preferences for all capability analyses, go to Capability analysis preferences.