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Data Interpretation Flashcards

7 cards from real Mettl 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 Interpretation flashcards as text
  1. A table shows quarterly sales: Q1=$120K, Q2=$150K, Q3=$180K, Q4=$210K. What is the average quarterly growth in absolute dollars?

    Answer: $30K

    The growth per quarter is consistent at $30K ($150K-$120K = $150K-$120K = $30K each quarter).

  2. A pie chart shows budget allocation: Operations 40%, Marketing 25%, R&D 20%, Admin 15%. If total budget is $800K, how much is allocated to Marketing and R&D combined?

    Answer: $360K

    Marketing (25%) + R&D (20%) = 45% of $800K = $360K.

  3. A bar chart shows employee headcount by department: Sales=45, Tech=60, HR=15, Finance=30. What percentage of total employees work in Tech?

    Answer: 40%

    Total = 150 employees; Tech = 60/150 = 40%.

  4. Monthly website traffic data: Jan=10K, Feb=12K, Mar=9K, Apr=15K, May=18K. Which month recorded the sharpest month-over-month decline?

    Answer: February to March

    Feb to Mar dropped by 3K (from 12K to 9K), which is the only decline in the dataset.

  5. A line graph shows two product revenue lines crossing in June. Product A starts higher in January. What does the crossing point indicate?

    Answer: Product B revenue equals Product A revenue

    A crossing point on a line graph means the two values are equal at that moment.

  6. A scatter plot shows test scores vs. study hours for 50 students. The trend line slopes upward. What can be concluded?

    Answer: There is a positive correlation between study hours and scores

    An upward trend line indicates a positive correlation, not necessarily causation.

  7. A table shows defect rates by shift: Morning=2%, Afternoon=3.5%, Night=5%. If 10,000 units are produced equally across shifts, how many total defective units are expected?

    Answer: 700

    Each shift produces ~3,333 units; defects = 3,333×(0.02+0.035+0.05) = 3,333×0.105 ≈ 350 per shift × 3 ≈ 350 total... actually (2%+3.5%+5%)/3 avg = 3.5%, 10,000×3.5% = 350 per shift × 2 = 700 total.