Creating a C / U control chart

Plot a Shewhart control chart for the total number of nonconformities or the average number of nonconformities per unit to determine if a process is in a state of statistical control.

1. Select a cell in the dataset.
2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Process Control, and then click the type of control chart:

   Option	Description
   c	Plot a Shewhart control chart of the total number of nonconformities.
   u	Plot a Shewhart control chart of the average number of nonconformities per unit.

   The analysis task pane opens.
3. In the Process drop-down list, select the number of nonconformities variable.
4. In the Sample size group:
   • If the subgroup sizes are variable, select Sample size variable, and in the Size drop-down list, select the corresponding sample sizes variable.
   • If the subgroups are a constant size, select Sample size constant, and in the edit box, enter sample size.
5. Optional: In the Id drop-down list, select the identifier variable.
6. 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.
7. Optional: To specify known process parameters, select the Known process parameters check box, and then in the Mean edit box, type the known average number of nonconformities per unit.
8. Optional: To show the process mean and sigma statistics, select the Show process statistics check box.
9. Optional: To show the center and control limit statistics, select the Show process control statistics check box.
10. Click Calculate.