LSS Black Belt · PeopleCert · Measure · Bank updated 2026-07-03
LSS Black Belt practice questions: Measure
5 free questions from 31 on this area · answer and explanation for each · no sign-up
These 5 questions come from the Measure section of our LSS Black Belt bank (31 questions on this area, which carries 20% of the real exam). Every question is original, with the correct answer explained and linked to the source it is drawn from.
1/5 · Measure · hard
A value stream map of an order-fulfillment process identifies five process steps with touch (process) times of 5, 8, 3, 12, and 2 minutes, for a total value-added time of 30 minutes. The total lead time from order receipt to delivery, including all queues and wait time, is 600 minutes. Using the common Lean guideline that a Process Cycle Efficiency (PCE) below 10% indicates a highly complex process with substantial non-value-added time, what is the PCE and how should it be interpreted?
APCE = 95%; the process is highly efficient because most of the lead time is spent on value-added work
BPCE = 5%; below the 10% guideline, indicating the process has substantial non-value-added time relative to Lean benchmarks
CPCE = 20 minutes; calculated as total lead time divided by the number of process steps (600/5)
DPCE = 100%; all five process steps shown are value-added, so wait time outside those steps is not part of the PCE calculation
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2/5 · Measure · easy
For data that follows a normal distribution, approximately what percentage of observations fall within ±2 standard deviations of the mean?
A~99.7%
B~68%
C~50%
D~95%
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3/5 · Measure · hard
A Black Belt collects 100 cycle-time measurements. An Anderson-Darling normality test returns p = 0.01 (reject normality), and a histogram shows the data is strongly right-skewed. The team must report a capability index against a customer specification. Which approach is most appropriate per Black Belt practice?
ADiscard the skewed data points as outliers and recollect a smaller sample until the data appears normal
BApply a Box-Cox (or similar power) transformation to normalize the data, then calculate capability indices on the transformed scale (or fit an appropriate non-normal distribution) rather than applying the standard normal-based Cpk formula directly to the raw skewed data
CCalculate Cpk directly on the raw data using the standard normal-based formula, since Cpk is distribution-free
DReport only the process mean and range, since capability indices can never be calculated for non-normal data under any circumstances
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4/5 · Measure
A quality characteristic is known to follow a normal distribution with a mean of 50 units and a standard deviation of 2 units. Using the empirical rule for the normal distribution, approximately what percentage of observations fall between 46 and 54 units?
A50%
B99.7%
C95%
D68%
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5/5 · Measure
A quality inspector classifies 30 samples as Pass or Fail, then re-classifies the same 30 samples a week later without seeing the earlier results or knowing which samples are which. A Black Belt wants a statistic that quantifies how well the inspector agreed with their own earlier ratings, correcting for the agreement that would be expected by chance alone. Which statistic is appropriate here?
A%GRR from a variable Gage R&R study
BThe Pearson correlation coefficient
CCpk, the process capability index
DKappa statistic from an attribute agreement analysis
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D is correct. Attribute Agreement Analysis uses the Kappa statistic to evaluate how consistently a rater (or multiple raters) classifies categorical data, correcting for agreement that would occur purely by chance. This is the attribute counterpart to variable Gage R&R and is a distinct MSA tool within the Measure phase.
↗ the IASSC Lean Six Sigma Black Belt Body of Knowledge — Measure
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