Six Sigma p Chart for Mobile Excel - Statistical process control charts are line graphs that show how a process performs over time. Is it predictable or "out of control"? How much variation is there? Are there any special causes of variation (e.g., the point above the upper control limit shown below)? The p chart is used when the sample size varies: the total number of circuit boards, meals, or bills delivered varies from one sampling period to the next. In the p chart below, the number of defective paychecks varies with the number of employees in each pay period. The app allows data input into the template The p Chart is used when the sample size varies The Upper Control Limit (UCL) is the + 3 sigma line and the Lower Control Limit (LCL) is the - 3 sigma line. 99.7% of all data points will fall between these two limits. The app allows a graphical representation of your data.
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Supported operating systems:
Pocket PC 2002, Windows Mobile 2003, Windows Mobile 5.0, Windows Mobile 6 Classic, Windows Mobile 6 Professional, Windows Mobile 6.1 Classic, Windows Mobile 6.1 Professional, Windows Mobile 6.5 Professional
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Six Sigma c Chart for Mobile Excel-FREE TRIAL COPY Six Sigma c Chart - Statistical process control charts are line graphs that show how a process performs over time. Is it predictable or "out of control"? How much variation is there? Are there any special causes of variation (e.g
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Six Sigma XmR Chart for Mobile Excel Six Sigma XmR Chart for Mobile Excel - Statistical process control charts are line graphs that show how a process performs over time. Is it predictable or "out of control"? How much variation is there? Are there any special causes of variation (e.g
Six Sigma np Chart for Mobile Excel Six Sigma np Chart for Mobile Excel - Statistical process control charts are line graphs that show how a process performs over time. Is it predictable or "out of control"? How much variation is there? Are there any special causes of variation (e.g
Six Sigma u Chart for Mobile Excel- Six Sigma u Chart for Mobile Excel - Statistical process control charts are line graphs that show how a process performs over time. Is it predictable or "out of control"? How much variation is there? Are there any special causes of variation (e.g
