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Quality and Reliability Methods - SAS

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36 Statistical Control Charts Chapter 2<br />

Display Options<br />

Show Zones toggles between showing <strong>and</strong> not showing the zone lines. The zones are labeled A, B, <strong>and</strong> C<br />

as shown here in the Mean plot for weight in the Coating.jmp sample data. Control Chart tests use the<br />

zone lines as boundaries. The seven zone lines are set one sigma apart, centered on the center line.<br />

Figure 2.10 Show Zones<br />

Shade Zones toggles between showing <strong>and</strong> not showing the default green, yellow, <strong>and</strong> red colors for the<br />

three zone areas <strong>and</strong> the area outside the zones. Green represents the area one sigma from the center line,<br />

yellow represents the area two <strong>and</strong> three sigmas from the center line, <strong>and</strong> red represents the area beyond<br />

three sigma. Shades may be shown with or without the zone lines.<br />

Figure 2.11 Shade Zones<br />

OC Curve gives Operating Characteristic (OC) curves for specific control charts. OC curves are defined<br />

in JMP only for X -, P-, NP-, C-, <strong>and</strong> U-charts. The curve shows how the probability of accepting a lot<br />

changes with the quality of the sample. When you choose the OC Curve option from the control chart<br />

option list, JMP opens a new window containing the curve, using all the calculated values directly from<br />

the active control chart. Alternatively, you can run an OC curve directly from the Control category of<br />

the JMP Starter. Select the chart on which you want the curve based, then a dialog prompts you for<br />

Target, Lower Control Limit, Upper Control Limit, k, Sigma, <strong>and</strong> Sample Size. You can also perform<br />

both single <strong>and</strong> double acceptance sampling in the same manner. To engage this feature, choose

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