PK0-005 Tools and Documentation Practice Question
A project manager is using a quality tool that displays data points over time with upper and lower control limits. The tool helps distinguish between common cause and special cause variation. Which tool is this?
⚠ Common exam trap
PK0-005 often tests the confusion between control charts and Pareto charts, since both involve data visualization; the key differentiator is that control charts show variation over time with control limits, while Pareto charts prioritize causes by frequency.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Control chart
A control chart is the quality tool that plots data points over time with upper and lower control limits (UCL and LCL), helping distinguish between common cause variation (inherent to the process) and special cause variation (due to assignable causes). It is a key tool in statistical process control (SPC) and is used in the Control Quality process.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Scatter diagram
Why it's wrong here
A scatter diagram plots paired values of two variables to reveal correlation between them. It has no time-ordered sequence and no upper or lower control limits, so it cannot distinguish common from special cause variation; that requires a control chart.
- ✗
Pareto chart
Why it's wrong here
A Pareto chart ranks causes by frequency as descending bars with a cumulative line, identifying the vital few contributors. It plots categorical counts, not sequential measurements against control limits, so it cannot separate common from special cause variation; that is the control chart's role.
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Fishbone diagram
Why it's wrong here
A fishbone diagram arranges possible causes into categories branching from a problem statement during root-cause brainstorming. It is a static cause-and-effect map with no time axis or statistical control limits, so it cannot detect special cause variation; a control chart does that.
- ✓
Control chart
Why this is correct
A control chart plots data points over time against statistically derived upper and lower control limits, so variation beyond those limits signals special cause while variation within them is common cause. This directly satisfies the stem's requirement to distinguish the two variation types.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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