Process control for non-normal data involves monitoring and managing industrial or operational processes that produce non-normally distributed data.
Attribute charts display information on defects and defectives. They help you visualize the enemy – variation!
X Bar R charts are the widely used control charts for variable data. They help to examine the process stability in many industries.
An XmR chart (aka Shewhart’s Control Chart aka ImR chart) is a chart where the control limits are calculated from the moving average range.
Linear regression is a statistical technique to estimate the relationship between a dependent variable and an independent variable.