Analytics and Improvements Library

Learning Objectives

• Understand the impact of sample size on analysis
• Manage rates and frequencies within an analysis
• Choose appropriate chart type to use in data analysis
• Avoid statistical bias
• Recognize the common data distribution shapes
• Identify the common types of variation within a data distribution
• Recall the measures of central tendency and when to use them
• Identify process or system stability using a control chart
• Interpret boxplots and bubble charts
• Describe the difference between common cause and special cause variation
• Build run and control charts
• Utilize statistical rules to identify special cause variation on a run or control chart
• Interpret special cause variation using a run or control chart

3 modules | 4 CLUs

Course Description

Use industry best practices to perform basic comparative and descriptive analysis, and leverage run charts and statistical process control charts to understand variation.