Peer Results
- 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
Target Learners:
Average Completion Time:
Co-development Partner(s):