Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data)
Select Normal and general non-normal (Pearson and Johnson fitting) via the Process Capability Analysis Setup--Raw Data dialog box - Distribution tab as the fitting distribution and click the OK button to display the Process Capability Analysis--Normal and General Non-Normal Distribution (for Raw Data) dialog box.
This dialog box contains 6 tabs:
For further information on raw data, see Process Analysis Procedures Startup Panel - Quick tab.
Summary box
In the Summary box, click the Copy button to copy either the selected text (if text has been selected) in the Summary box or all of the text (if no text has been selected) to the Clipboard. The copied text retains formatting information (such as font, color, etc.).
Contract/Expand button
Click the Contract/Expand button to contract or expand the Summary box. When contracted, you can see only one line of the Summary box text and can scroll through the text using a scroll bar. Note that when contracted the text is scrolled so that the first non-blank line is at the top. When expanded (the default setting), the entire Summary box will display.
Variable << >>
If more than one variable is selected for the analyses, you can switch between them via the Variable << and >> buttons (or use the adjacent menu).
The specifications for each variable are unique. For instance, any user-specified mean, Sigma, or specifications only apply to the current variable, and different variables can have different specifications. (See Specifications for a further description of the terms user-specified mean, Sigma, or specifications).
Summary
Click the Summary button to produce spreadsheets containing the standard process capability indices and process performance indices.
Available process capability indices include Cp, Cr, Cpk, Cpl, Cpu, K, and Cpm. Available process performance indices include Pp, Pr, Ppk, Ppl, and Ppu. These indices are reviewed in Process Capability Indices and Process Performance vs. Process Capability Introductory Overview.
Multiple samples (Cp, Cpk, Pp, Ppk, etc.)
If the input data consist of multiple samples, and you specified a grouping variable with sample identifiers, then Statistica estimates the within-sample Sigma based on ranges, standard deviations, or variances, depending on the your selection on the Process Capability Analysis Setup--Raw Data dialog box - Grouping tab.
This estimate of Sigma is used to compute the capability indices when you select the Summary button on this dialog. The standard deviation for all cases (total variation) is used to compute the performance indices, which will be displayed in a second spreadsheet; the standard deviation for all observations is also used in all other options available on this dialog. Refer to the Introductory Overview for additional details (see also the ASQC/AIAG reference manual; ASQC/AIAG, 1991, page 80).
Cancel
Click the Cancel button to close the dialog box without performing an analysis and return to the Process Capability Analysis Setup--Raw Data dialog box.