(CQE) Flashcards
7 cards from real CQE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 (CQE) flashcards as text
Which of the following best describes the purpose of a pre-control chart?
Answer: Monitor process centering and spread using specification limits divided into zones
Pre-control divides the specification range into green, yellow, and red zones to provide simple run-rule decision making without calculating control limits.
When performing a root cause analysis, a fishbone (Ishikawa) diagram organizes potential causes into categories such as:
Answer: Manpower, Machines, Methods, Materials, Measurement, Environment
The classic 6M fishbone categories are Manpower, Machines, Methods, Materials, Measurement, and Environment (Mother Nature).
An organization implementing a corrective action system should ensure that corrective actions address:
Answer: The root cause to prevent recurrence
Effective corrective action eliminates the root cause of a detected nonconformance to prevent it from recurring.
The p-chart is the appropriate control chart for monitoring:
Answer: The proportion of nonconforming items in variable-size subgroups
The p-chart tracks fraction nonconforming (proportion) and accommodates variable subgroup sizes.
Which statistical distribution is most appropriate for modeling time-to-failure data in reliability analysis?
Answer: Weibull distribution
The Weibull distribution is highly flexible and widely used in reliability analysis because its shape parameter β describes all three phases of the bathtub curve.
Supplier qualification audits primarily assess whether a supplier:
Answer: Has a quality management system capable of meeting requirements
Supplier qualification audits verify that a supplier's systems, processes, and capabilities can consistently meet the customer's quality requirements.
In Design of Experiments (DOE), a confounded effect means that:
Answer: Two or more effects cannot be estimated independently in the design
Confounding occurs when two or more effects are aliased — their estimates are mathematically combined and cannot be separated without additional runs.