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Data Analysis & Reporting Flashcards

7 cards from real CPT 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 Analysis & Reporting flashcards as text
  1. A performance technologist notices that sales performance data shows high variance across regions. Which statistical measure best describes the spread of data around the mean?

    Answer: Standard deviation

    Standard deviation quantifies how much individual data points deviate from the mean, making it the best measure of spread.

  2. When analyzing training effectiveness data, a CPT finds a skewed distribution. Which measure of central tendency is MOST appropriate to report?

    Answer: Median

    The median is preferred over the mean for skewed distributions because it is not distorted by extreme outliers.

  3. A dashboard shows a KPI trending upward for three consecutive quarters, but the improvement is statistically non-significant. What should the CPT conclude?

    Answer: The upward trend may be due to random variation

    Without statistical significance, an observed trend could reflect random variation rather than a true performance change.

  4. Which type of chart is MOST effective for showing how a whole is divided into proportional parts for an executive audience?

    Answer: Pie chart

    Pie charts display part-to-whole relationships visually, making them suitable for showing proportional composition to executives.

  5. A CPT is designing a report to compare pre- and post-training performance for 50 employees. Which statistical test is MOST appropriate?

    Answer: Paired t-test

    A paired t-test compares means from the same group under two conditions (before and after), controlling for individual differences.

  6. In a performance report, a CPT includes a confidence interval of [72%, 88%] for a post-training competency score. What does this interval communicate?

    Answer: The score will fall between 72% and 88% in 95% of future samples

    A 95% confidence interval means that in repeated sampling, 95% of such intervals would contain the true population parameter.

  7. A performance analyst wants to identify which of five training variables most strongly predicts job performance. Which analysis technique is MOST appropriate?

    Answer: Multiple regression

    Multiple regression identifies the relative contribution of multiple independent variables in predicting a single dependent variable.