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