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Steps in Constructing a c Control Chart Gather the data. a. Select the subgroup size.Plot the data. a. Select the scales for the control chart.Calculate the process average. a. Calculate the process average number of defects ( c):Calculate the control limits. a.Interpret the chart for statistical control.

Steps in Constructing a c Control Chart Gather the data. a. Select the subgroup size.Plot the data. a. Select the scales for the control chart.Calculate the process average. a. Calculate the process average number of defects ( c):Calculate the control limits. a.Interpret the chart for statistical control.

In general, the chart contains a center line that represents the mean value for the in-control process. Two other horizontal lines, called the upper control limit (UCL) and the lower control limit (LCL), are also shown on the chart.

The following rules can be used to properly interpret control charts: Rule 1 One point beyond the 3 03c3 control limit. Rule 2 Eight or more points on one side of the centerline without crossing. Rule 3 Four out of five points in zone B or beyond. Rule 4 Six points or more in a row steadily increasing or decreasing.

The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. These lines are determined from historical data.

The individuals and moving range (I-MR) chart is one of the most commonly used control charts for continuous data; it is applicable when one data point is collected at each point in time.

Control rule means a time-certain date, past, present or future, used to establish participation in a limited entry fishery and may or may not include specific past harvest amounts.