During the control function, the measurements taken of the performance must be accurate enough to see "deviations and variances".
Option: B
Explanation:
One object of control charts is to calculate a process's average and standard deviation. Control functions or two-stage residual inclusion are statistical methods for resolving problems with endogeneity by modeling the endogeneity in the context of error.
A specific reason behind the commonness is they function for non-invertible models like discrete choice models and allow heterogeneous effects, whereby consequences at the individual level will vary from aggregate effects. The control chart analysis shows that the procedure is actually under control, and then no improvements or adjustments to the control systems parameters are necessary or needed.