Control: SPC & Control Charts
35 free practice questions with explanations
PassNova has 35 free Lean Six Sigma Green Belt practice questions on Control: SPC & Control Charts, each with a clear explanation. Practise them in the browser with instant feedback — 100% free, no sign-up, on any device. Updated for 2026.
Control: SPC & Control Charts: example questions & answers
Here are 6 example questions from this topic. Practise the full set of 35 free in the browser.
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Which control chart is most appropriate for monitoring individual measurements where the natural subgroup size is one?
- A Individuals and Moving Range (I-MR) chart ✓
- B p-chart
- C c-chart
- D X-bar and R chart
Answer: When data are collected as single observations rather than subgroups, the Individuals and Moving Range (I-MR) chart is the correct choice.
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A team tracks the proportion of defective items in daily samples whose sizes vary from day to day. Which control chart should be used?
- A X-bar and S chart
- B np-chart
- C c-chart
- D p-chart ✓
Answer: The p-chart monitors the proportion of defective units and accommodates varying subgroup sizes, unlike the np-chart which requires a constant sample size.
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Which chart is designed to monitor the count of defects per inspection unit when the sample size (area of opportunity) is constant?
- A p-chart
- B X-bar and R chart
- C I-MR chart
- D c-chart ✓
Answer: The c-chart tracks the number of defects (nonconformities) per unit when the area of opportunity is constant, modelled by the Poisson distribution.
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On a standard Shewhart control chart, the upper and lower control limits are conventionally placed at:
- A Plus or minus 1 standard deviation from the centreline
- B Plus or minus 2 standard deviations from the centreline
- C Plus or minus 3 standard deviations from the centreline ✓
- D At the customer's upper and lower specification limits
Answer: Shewhart control limits are set at plus or minus 3 sigma from the centreline, capturing about 99.73% of common-cause variation.
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A single point falling outside the control limits on a control chart is a signal of:
- A Common-cause (random) variation that should be ignored
- B A special (assignable) cause of variation that warrants investigation ✓
- C An automatic need to recalculate the specification limits
- D Improved process capability
Answer: A point beyond the 3-sigma control limits indicates a special (assignable) cause, signalling the process has changed and should be investigated.
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Which statement correctly distinguishes control limits from specification limits?
- A Control limits are calculated from process data (the voice of the process); specification limits come from customer or design requirements ✓
- B Control limits and specification limits are always identical
- C Specification limits are always plus or minus 3 sigma of the process mean
- D Control limits are set by the customer; specification limits are calculated from process data
Answer: Control limits reflect the voice of the process and are computed from actual process variation, whereas specification limits express customer or design requirements and are independent of the process.