Certified Six Sigma Black Belt Measurement System Analysis 1 Flashcards
6 cards from real Certified Six Sigma Black Belt Exam practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Certified Six Sigma Black Belt Measurement System Analysis 1 flashcards as text
In a Gage R&R study, the 'reproducibility' component specifically measures variation due to:
Answer: Different operators measuring the same part with the same gage
Reproducibility captures the variation introduced when different appraisers (operators) measure the same part using the same measurement device, reflecting differences in how people use the instrument.
A measurement system has a %Gage R&R of 22%. According to AIAG guidelines, how should this system be classified?
Answer: Marginally acceptable — may be used based on application importance and cost
AIAG guidelines classify %Gage R&R between 10% and 30% as marginal. The decision to accept or reject the system depends on factors such as the importance of the application, cost of repair, and risk of misclassification.
Which statistical metric in an MSA describes the ability of a measurement system to detect and distinguish between consecutive part values?
Answer: Number of Distinct Categories (ndc)
The number of distinct categories (ndc) indicates how many groups of parts the measurement system can reliably differentiate. An ndc of 5 or more is required for the system to be considered adequate for process control.
During a linearity study, a technician measures reference standards across the operating range and finds that bias increases consistently as the measured value increases. This indicates:
Answer: The gage has a non-constant bias across its operating range, indicating a linearity error
Linearity error occurs when the bias of the measurement system is not consistent across the full operating range — meaning the gage reads more or less accurately depending on the magnitude of the value being measured.
A Six Sigma Black Belt conducts a stability study by measuring the same master part daily over 30 days. The control chart shows the measurements drifting upward over time. What does this most likely indicate?
Answer: The measurement system is losing calibration or wearing over time
Stability measures how consistent a measurement system's bias is over time. An upward drift on a stability control chart suggests the gage is losing calibration, wearing, or experiencing environmental degradation — all of which compromise measurement accuracy.
In an attribute MSA, a Black Belt asks three appraisers to evaluate 50 parts twice each and compares their accept/reject decisions. Which metric is most appropriate for quantifying agreement between appraisers?
Answer: Cohen's Kappa statistic
Cohen's Kappa statistic is the standard metric for assessing agreement in attribute (pass/fail) measurement systems. It accounts for the probability of agreement occurring by chance, making it more meaningful than simple percent agreement.