Quality and Process Methods > Variability Gauge Charts > Launch the Variability/Attribute Gauge Chart Platform
Publication date: 08/13/2020

Launch the Variability/Attribute Gauge Chart Platform

Launch the Variability/Attribute Gauge Chart platform by selecting Analyze > Quality and Process > Variability/Attribute Gauge Chart. Set the Chart Type to Variability.

Figure 5.3 The Variability/Attribute Gauge Chart Launch Window 

For more information about the options in the Select Columns red triangle menu, see Column Filter Menu in Using JMP.

Chart Type

Choose between a variability gauge analysis (for a continuous response) or an attribute gauge analysis (for a categorical response, usually “pass” or “fail”).

Note: The content in this chapter covers only the Variability chart type. For more information about the Attribute chart type, see Attribute Gauge Charts.

Model Type

Choose the model type (Main Effect, Crossed, Nested, and so on). See Statistical Details for Variance Components.

Analysis Settings

Specify the method for computing variance components. See Analysis Settings.

Specify Alpha

Specify the alpha level used by the platform.

Y, Response

Specify the measurement column. Specifying more than one Y column produces a separate variability chart for each response.


Specify a standard or reference column that contains the “true” or known values for the measured part. Including this column enables the Bias and Linearity Study options. These options perform analysis on the differences between the observed measurement and the reference or standard value. See Bias Report and Linearity Study.

X, Grouping

Specify the classification columns that group the measurements. If the factors form a nested hierarchy, specify the higher terms first. If you are doing a gauge study, specify the operator first and then the part.


Identifies the data table column whose values assign a frequency to each row. Can be useful when you have summarized data.

Part, Sample ID

Identifies the part or sample that is being measured.


Identifies a column that creates a report consisting of separate analyses for each level of the variable.

Data Format

To use the Variability Chart platform, all response measurements must be in a single response column. Sometimes, responses are recorded in multiple columns, where each row is a level of a design factor and each column is a level of a different design factor. Data that are in this format must be stacked before running the Variability Chart platform. See Stack Columns in Using JMP.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).