CONTROL CHARTS II

Participant Profile 

For any employees that work in or have direct accountability for cross-functional processes.

Course Size:  8-12 participants

 

Location:  Meliora's Training Facility or On-Site at Client's Location

Course Description 

Students will learn advanced techniques for analyzing non-normal time-ordered data using control charts.  The course teaches students how to analyze data distribution, effectively transform non-normal data, and fit the data to the appropriate non-normal control chart.  Course topics include Central Limit Theorem, distribution parameters and fit tests, Box-Cox analysis, power and logarithmic transformations, and subgroup sampling.

Learning Objectives

• Analyze and determine the inherent distribution of data.

• Perform transformations to normalize data where possible.

• Create and interpret p, np, u, c, and X-bar r charts.