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Data Analysis & Reporting Flashcards

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

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  1. A packaging engineer is presenting a cost-benefit analysis for a new form-fill-seal machine. Which financial metric shows how many years it takes to recover the initial investment from annual savings?

    Answer: Payback period

    The payback period divides the initial capital investment by the annual net savings to determine how many years are needed to recover the investment.

  2. In Six Sigma terminology applied to packaging, DMAIC stands for Define, Measure, Analyze, Improve, and Control. In the Measure phase, the packaging team should:

    Answer: Establish baseline performance data for the current process

    The Measure phase focuses on collecting data to establish a quantitative baseline of current process performance before analyzing root causes.

  3. A packaging line reports 47 defects per shift. If the process has 3 defect opportunities per unit and produces 500 units per shift, what is the DPMO (Defects Per Million Opportunities)?

    Answer: 31,333

    DPMO = (Defects ÷ (Units × Opportunities per unit)) × 1,000,000 = (47 ÷ (500 × 3)) × 1,000,000 = 47 ÷ 1,500 × 1,000,000 = 31,333.

  4. A packaging analyst compares two suppliers' lead time data and finds Supplier A has a mean of 10 days with a standard deviation of 1.2 days, while Supplier B has a mean of 10 days with a standard deviation of 3.8 days. Which supplier is PREFERABLE for production planning reliability?

    Answer: Supplier A, because lower standard deviation means more consistent delivery

    Lower standard deviation indicates less variability, meaning Supplier A's lead times are more predictable and reliable for production scheduling.

  5. When reporting packaging line downtime, categorizing stoppages into planned maintenance, unplanned equipment failures, and material changeovers is an example of:

    Answer: Stratification

    Stratification is the technique of separating data into distinct categories or layers to reveal patterns that would be hidden in aggregate data.

  6. A packaging audit report identifies that 80% of customer returns cite 'difficult to open' as the reason. Which data visualization would MOST clearly communicate this finding to executive leadership?

    Answer: Pie chart or bar chart with percentage labels

    A pie chart or labeled bar chart clearly communicates proportional data to non-technical audiences, making the dominant 80% category immediately apparent.

  7. A packaging company uses ABC inventory analysis for packaging materials. 'A' items represent 10% of SKUs but 70% of total inventory value. The MOST appropriate management strategy for 'A' items is:

    Answer: Tight controls with frequent cycle counts and close supplier monitoring

    ABC analysis directs the most rigorous inventory controls to 'A' items because their high value means errors or stockouts have the greatest financial impact.