Black Belt/Quality Engineering Statistics
DETAILS (Return to Main)
Who Should Attend
Quality engineers, manufacturing/process engineers, quality managers, quality team leaders or facilitators, consultants, anyone preparing to take the ASQ Certified Six Sigma Black Belt (CSSBB) or Certified Quality Engineer (CQE) exams and anyone planning to attend Six Sigma Black Belt training.
Learning Outcomes
- Design and implement accurate and cost-effective data collection systems that will provide useful data for business process analysis.
- Graphically and mathematically summarize either small samples or large amounts of data in order to reach sound conclusions.
- Utilize the predictive power of probability distributions to project process performance in advance.
- Accurately estimate population characteristics from small sample groups.
- Evaluate sample data to determine if process interventions are truly effective or to compare various system options before making final decisions.
- Perform exploratory data analysis to detect process patterns and validate assumptions about process distributions patterns.
- Analyze data that does not fit into a particular probability distribution pattern.
- Develop mathematical models to predict business results from existing data.
- Determine the strength and direction of the relationship between two variables.
- Validate the effectiveness and completeness of predictive models.
- Communicate more effectively with others who require or use statistics in their business activities.
- Prevent the misuse and misinterpretation of business process data.
- Perform the quantitative analyses required for successfully completing Six Sigma Black Belt training and for the ASQ Certified Six Sigma Black Belt and Certified Quality Engineering exams.
Related ASQ Bodies of Knowledge
Certified Quality Engineer, Certified Six Sigma Black Belt
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