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Data Collection & Interpretation Flashcards

7 cards from real SPC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Data Collection & Interpretation flashcards as text
  1. A process produces shaft diameters measured to 0.001 inch. This is an example of:

    Answer: Variable (continuous) data

    Measurements on a continuous scale such as diameter are variable data, allowing infinite values within a range.

  2. When a gage is used to collect SPC data, gage R&R studies are conducted to assess:

    Answer: Measurement system repeatability and reproducibility

    Gage R&R quantifies how much of the observed variation comes from the measurement system itself (repeatability) versus different operators (reproducibility).

  3. In a histogram of process data, a bimodal shape most likely indicates:

    Answer: Two distinct process streams or populations are mixed in the data

    Two peaks in a histogram suggest that data from two different populations or process conditions have been combined.

  4. An operator collects 5 measurements every hour for 20 hours. The subgroup size (n) and number of subgroups (k) are:

    Answer: n = 5, k = 20

    Each hourly sample of 5 measurements is one subgroup, so n = 5 measurements per subgroup and k = 20 subgroups total.

  5. Which data collection error occurs when an inspector unconsciously rounds measurements toward a preferred value?

    Answer: Bias or systematic error

    Consistently rounding toward a value introduces a systematic bias that shifts all measurements in one direction.

  6. A Pareto chart is used during data interpretation to:

    Answer: Identify the vital few defect categories that account for most problems

    A Pareto chart ranks defect categories by frequency to apply the 80/20 rule and focus improvement efforts on the most significant issues.

  7. Data collected in the order of production is called:

    Answer: Time-ordered or sequential data

    Time-ordered data preserves the sequence of production, which is essential for detecting trends and special causes on control charts.