Launch the Variability/Attribute Gauge Chart platform by selecting Analyze > Quality and Process > Variability/Attribute Gauge Chart. Set the Chart Type to Variability.
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 details about the Attribute chart type, see the Attribute Gauge Charts section.
Choose the model type (Main Effect, Crossed, Nested, and so on). See Statistical Details for Variance Components.
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.
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.
Identifies a column that creates a report consisting of separate analyses for each level of the variable.