Lean Six Sigma Green Belt

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.

Sample questions

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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