Process Control: p-chart Conceptual Overview: Exploring how p-charts are used to detect processes out of control. The graph below plots the fraction of nonconforming (errors or rejected) items in 25 sequential samples of size 100. Such charts are known as p-charts because the plot the probability that an item is nonconforming. In this case, the system is in control that is, the probability of nonconforming remains steady. Click on the graph to generate a new set of 25 samples. Observe how the p-chart behaves when the process is in control. Continue clicking until you think you have a good sense of a p-chart in control 0.08 0.00 - 0.04 002- 0.00 10 20 25 15 Sample Number 1. In a D-chart, which of the following is les indicative of process that is in control? a. There are about as many points above the center line as there are points above it ti. Most points are near the center line The points and to trend higher from left to right d. The points appear to be randomly above and below the conter line 2. Inapchart, which of the following is most accurate? a the crotere is always equidistant between the lower limit line and the upper limite b. The lower limit line is never less than zero c. In general, the closer the points are to the center line, the doser the upper limit line is to the center line The lower limit lines never less than rera and "In general, the closer the points are to the center line, the door the upper timeline in to the new accurate