When you have finished this e-briefing, you will be able to: Define Quality Engineering, Describe key Quality Engineering concepts and tools, and Identify typical examples of how Quality Engineering tools are used.
When you have finished this e-briefing, you will be able to: Describe commonly used probability distributions that are the foundation for statistical analysis, Understand practical situations where probability distributions are typically observed, Using examples, illustrate how probability distributions are used in interpreting data.
When you have finished this e-briefing, you will be able to: define alpha and beta risks; and Using examples, describe how alpha and beta risks are used in solving quality problems.
When you have finished this e-briefing, you will be able to: Describe sampling plans and operating characteristic curves, or OC curves and how they are used; Using examples, describe the implications of sampling plans used for product quality inspections; and Using examples, identify situations where statistical help would be needed.
When you have finished this e-briefing, you will be able to: Define repeatability and reproducibility; and For given examples, explain how repeatability and reproducibility information is used in analyzing process and product data.
Check your knowledge of Quality Engineering content in this 16-question assessment. To complete this assessment, you must pass this assessment with a score of 80% or better, answering 13 of 16 questions correctly.
Apply and practice what you learned in the Quality Engineering Practices online curriculum, within the context of a classroom scenario. You must complete these ebriefings before you attend this session: Quality Engineering Basics Overview, Probability Distributions, Alpha & Beta Risks, Sampling Plans & OC Curves, Measurement Repeatability, and the Quality Engineering Practices eAssessment.