The Crouse Fuse Company case (attached pdf) presents a problem that may be analyzed with the use of P-Control Charts. The samplingdatafrom operations during the monitored control week are used as a basis for P-Control chart limits in the future.
From the data in Exhibit 1 of the case, there are 80 different samples of 50 units per sample from the monitored week of operation. This gives a total number sampled as 80*50 = 4,000.
* See attached: CFC management wants to see STATs process control analysis applied to the data from their system – based on the proportion of defective units in a sample, and it should be done on the data from BOTH shifts.
* There were 94 defective units found during testing in the monitored week, yielding an expected proportion defective, = 94/4,000 = .0235. With a sample size n = 50; calculate the proportion standard deviation.
* Make control charts for a 95% confidence level, which gives us a standard normal distributionvalue with Z = 1.960.
Need statistical response/charts from Excel for these control charts.
Note: These control limits are then used to construct P-Control charts to consider the output from the First Shift and Second Shift of the first week of operation after the monitored week.
The solution gives the step by step method for the construction of control charts.