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Typical users will monitor critical quality factors in manufacturing, process, and service industries, and display the results in one of the many supported chart types. The software will automatically calculate SPC control limits using historical data for the supported variable control chart and attribute control chart types. It will also calculate process capability ratios Cp, Cpk and process performance indices Pp, Ppk. A set of specification limits can also be added to the chart.

The SPC charts are displayed as one or two synchronized charts, under the control of a scroll bar.

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The scroll bar can be replaced by an integrated zoom control which allows for the display of charts with a custom time frame. Auto-scaling of the charts y-axes keeps everything in view. An integrated table appears above the chart, that displays information about the process under view, and each sample interval plotted in the chart. The table displays time, individual sample values, sample statistics, process indices, alarm status, and any notes entered for that sample interval.

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The user can customize the SPC chart and control limits using built-in setup forms. Both auto-calculated and manually set control limits are supported. The user can manually input and edit sample data from within the program. The user can also import sample data from a CSV comma separated value file.

The entire chart setup, and data, can be saved on the host device so that they are easily accessible the next time you use the app. You can even set the current setup to be auto-loaded the next time the app starts. The software displays a lot of information on the screen at once, and it is recommended that it be used on devices with a minimum of x pixel resolution, landscape or portrait mode.

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In the student version of the software the total number of sample intervals data points which can be displayed at one time is limited to Overview Specs. This SPC software is very cost effective and user-friendly.

At the same time, it is a very powerful statistical package that meets the needs of most professionals - green belts, black belts, quality professionals, quality assurance, front-line personnel, supervisors, quality control, controllers, engineers, and laboratory personnel - anyone who wants to improve their data analysis. Please Wait.

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Quality Control in NCSS

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