A cause and effect matrix is a six sigma tool that prioritizes the key process input variables based on priorities of customer outputs.
FMEA (Failure Mode Effects Analysis) is a tool that helps us anticipate what might go wrong with a process and identify the possible causes.
Point estimate and Interval estimates are the two forms of population parameter estimation based on sample data.
A Box Cox Transformation is a calculation that rearranges the dataset into a normal distribution. The data must be positive and continuous.
Process control for non-normal data involves monitoring and managing industrial or operational processes that produce non-normally distributed data.