Plot a Shewhart control chart for individual observations to determine if a process is in a state of statistical control.
Select a cell in the dataset.
On the Analyse-it ribbon tab, in the
Statistical Analyses group, click Process Control, and then click the type of control chart:
||Plot Shewhart control charts of the individual observations and moving range of consecutive observations.
||Plot a Shewhart control chart of the individual observations.
||Plot a Shewhart control chart of the moving range of consecutive observations.
The analysis task pane opens.
In the Process drop-down list, select the quality characteristic variable.
In the Id drop-down list, select the identifier variable.
In the Control limits drop-down list:
- To define control limits based on a multiple of the process sigma, select Sigma, and then in the edit box, type the multiple of the process sigma to define the control limits.
- To define control limits based on the probability distribution, select Probability, and then in the edit box, type the probability that a single statistic exceeds the control limits, assuming the process is in control.
To specify known process parameters, select the Known process parameters check box, and then in either or both the Mean and Standard deviation edit boxes, type the known value of the parameter.
To show the process mean and sigma statistics, select the Show process statistics check box.
To show the center and control limit statistics, select the Show process control statistics check box.