Analytics and Improvements Library

Learning Objectives

• Understand the impact of sample size on analysis
• Recognize best practices around collecting historic data
• Identify appropriate chart types and their application
• Distinguish between outcome, process, and balance measures
• Understand statistical bias and its potential cause
• Recognize the various shapes of data distributions
• Determine appropriate measures of central tendency and spread
• Evaluate basic visualizations for key insights
• Describe linear relationships using the correlation coefficient, r, and the coefficient of determination, r2
• Interpret the results of a hypothesis test
• Recognize the importance of evaluating performance over time
• Understand the difference between common cause variation and assignable cause variation
• Interpret run charts and control charts to respond to signals rather than noise

Course Description

Work with competent analysts to get the correct data and analyze and interpret it in a way that generates meaningful insights.

3 modules | 5 CLUs