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Lean Six Sigma Exam

Control Charts (X-bar, R, P, C, U charts) Practice Questions

10 practice questions with detailed explanations — aligned to the Lean Six Sigma Exam.

Master Control Charts (X-bar, R, P, C, U charts) to boost your score on the Lean Six Sigma Exam. Each question below mirrors the style and difficulty of real exam questions, complete with detailed explanations so you understand the why behind every answer. Work through all 10 questions, review any that trip you up, and use the related topics below to round out your preparation.

  1. Q1.Which control chart is used to monitor the proportion of defective items in a sample of variable size?

    A.c chart
    B.u chart
    C.p chart
    D.np chart
    Cp chart

    Explanation: The p chart monitors the proportion (fraction) of defective units. It is used when sample sizes vary. The np chart monitors the number of defective units but requires constant sample size. The c chart monitors defects per unit with constant sample size, and the u chart monitors defects per unit with variable sample size.

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  2. Q2.On an X-bar chart, control limits are set at:

    A.±1 standard deviation from the grand mean
    B.±3 standard deviations of the subgroup means (±3σ/√n)
    C.The specification limits (USL and LSL)
    D.±2 standard deviations of individual data points
    B±3 standard deviations of the subgroup means (±3σ/√n)

    Explanation: Control limits on an X-bar chart are ±3 standard deviations of the subgroup means, calculated as X̄ ± A₂R̄ (using control chart constants). Control limits are based on process variation — NOT specification limits. They represent what the process naturally produces, not what the customer requires.

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  3. Q3.A control chart shows 9 consecutive points on one side of the centerline. What does this indicate?

    A.Normal random variation — no action needed
    B.A special cause — the process mean has likely shifted
    C.The control limits are too wide
    D.The sample size needs to be increased
    BA special cause — the process mean has likely shifted

    Explanation: Nine or more consecutive points on one side of the centerline is a 'run' — a classic Western Electric rule violation indicating a process shift (special cause). Even if all points are within control limits, this non-random pattern signals that the process mean has changed and investigation is required.

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  4. Q4.When should you use an X-bar & S chart instead of an X-bar & R chart?

    A.When sample size is less than 8
    B.When sample size is greater than 10–15
    C.When data is attribute (pass/fail) rather than variable
    D.When the process is not in control
    BWhen sample size is greater than 10–15

    Explanation: The R chart (range) is efficient for small subgroups (n ≤ 8–10). For larger subgroups (n > 10–15), the sample standard deviation (s) is a more efficient and accurate estimate of process dispersion than the range, so the X-bar & S chart is preferred.

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  5. Q5.A c chart monitors defects in a product with a constant sample size of 1 unit. The average defect count is 4. What are the UCL and LCL (approximately)?

    A.UCL = 7, LCL = 1
    B.UCL = 10, LCL = 0 (or negative, floor at 0)
    C.UCL = 8, LCL = 0
    D.UCL = 6, LCL = 2
    BUCL = 10, LCL = 0 (or negative, floor at 0)

    Explanation: For a c chart: UCL = c̄ + 3√c̄ = 4 + 3√4 = 4 + 6 = 10. LCL = c̄ − 3√c̄ = 4 − 6 = −2, floored at 0 (defect counts cannot be negative). So UCL = 10, LCL = 0.

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  6. Q6.An X-bar and R chart is being used to monitor a filling process. The R chart shows all points within control limits, but the X-bar chart has 9 consecutive points above the centerline. What does this indicate?

    A.A special cause (shift in process mean) has occurred
    B.Normal random variation — no action needed
    C.The control limits need to be recalculated
    D.The process variation has increased significantly
    AA special cause (shift in process mean) has occurred

    Explanation: Nine or more consecutive points on the same side of the centerline is a Western Electric Rule violation indicating a non-random pattern — a special cause, typically a sustained shift in the process mean. The R chart being in control confirms variation is stable, but the mean has shifted.

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  7. Q7.Which type of control chart is most appropriate for monitoring the number of defects per unit when the sample size varies?

    A.u-chart
    B.c-chart
    C.p-chart
    D.np-chart
    Au-chart

    Explanation: A u-chart tracks the average number of defects (nonconformities) per unit when sample sizes vary. A c-chart also counts defects but requires constant sample size. The p-chart and np-chart track proportion and count of defective items, not defects per unit.

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  8. Q8.A p-chart is used to track the fraction of defective invoice line items per batch. This is an example of what type of data?

    A.Attribute data (discrete)
    B.Variable data (continuous)
    C.Time series data only
    D.Ordinal data from a ranking scale
    AAttribute data (discrete)

    Explanation: Attribute data is discrete — items are classified as conforming or non-conforming (pass/fail, defective/non-defective). The p-chart is the appropriate control chart for attribute data expressed as a proportion of defectives.

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  9. Q9.Control chart UCL and LCL are set at ±3 standard deviations from the centerline. What percentage of points should fall within these limits if only common cause variation is present?

    A.99.73%
    B.95.00%
    C.68.27%
    D.99.99966%
    A99.73%

    Explanation: For a normally distributed process, ±3σ control limits capture 99.73% of the data when only common cause variation exists. Points outside these limits signal special causes. The 99.99966% figure refers to Six Sigma quality level (±6σ from the mean).

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  10. Q10.An individuals and moving range (I-MR) chart is most appropriate when:

    A.Only one measurement per time period is collected
    B.Large subgroups of 5+ measurements are collected
    C.You are monitoring proportion defective in a batch
    D.The process produces continuous flow with automatic subgrouping
    AOnly one measurement per time period is collected

    Explanation: The I-MR chart is designed for processes where only one observation is available per sampling period (n=1) — common in chemical, pharmaceutical, and service processes. It tracks individual measurements (I chart) and the moving range between consecutive points (MR chart).

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