Suppose that a 2-sigma control chart is used to monitor a variable that can be taken to be normally distributed.
(a) What is the probability that an observation will lie outside the control limits when the process is still in control?
(b) If the mean of the variable increases to one standard deviation above the control value, what is the probability that an observation will lie outside the control limits.' What is the average run length for detecting this change?