Black Belt/Quality Engineering Statistics

If you are planning to participate in Six Sigma Black Belt training, sit for the ASQ Six Sigma Black Belt exam or the Certified Quality Engineer exam you’ll get a refresher in statistical tools common to both exams’ Bodies of Knowledge.

• Learning Objectives
  • 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.
• Who Should Attend

  This is an excellent course for anyone looking to sit for the Six Sigma Black Belt or Quality Engineer exams, and is looking to gain a better understanding of the statistics requirements.

• More Information

  Prerequisites

  This is designed as an introductory course, so no prior knowledge of statistics is necessary, but a solid understanding of basic algebra and the ability to work basic algebraic formulas is required.

  Course Data

  • CEU Hours: 3.20
  • ASQ RU: 3.20
  • Provider: ASQ
  • Course ID: BBQES
  • Course Length: 32 hours
  • Cancellation Policy
• Instructors
  • Mark McComb, Ph.D., CQE
  • John Conte, CQE, CRE, CSQE
  • Lois A. Jordan, Ph.D., CQE