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
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.
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.
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.
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.
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.
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.
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.