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Lean Six Sigma Green Belt (AIGPE) 2026/2027 | Study Guide, Practice Questions & Answers | Certification Exam Prep

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Lean Six Sigma Green Belt (AIGPE) 2026/2027 | Study Guide, Practice Questions & Answers | Certification Exam Prep

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Lean Six Sigma Green Belt AIGPE

Inferential statistics
Procedures used to draw conclusions about larger populations from
small samples of data.




7 Basic tools of quality
1. Fishbone (Cause-and-Effect) Diagrams
2. Check Sheets
3. Process Maps (SIPOC)
4. Histograms
5. Pareto Charts
6. 5 why analysis
7. Run chart
SIPOC (Process Map)
Supplier
Inputs
Process
Outputs
Customer

Used for:




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Defining the boundaries of the process and the exact scope of process
improvement




Check sheet
Structured template used to collect data at the location where the data
is generated in real-time.

Used:

Whenever data is collected repeatedly. Useful for collecting data when
not available from a system or other pre-existing source.




Histogram
Displays numeric data in the form of bars in a chart. Data is shown
sequentially, with bar height representing the size of each group.

Used for:

Highlighting the category with the highest number of data points and
enabling the viewer to see the spread or variation in the data at a
glance.




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Used when:

Analyzing numeric data.




Pareto Chart
Simple bar chart that ranks related measures in decreasing order of
occurrence.

Used for:

Identifying the most significant potential root-causes of problems.

Used when:
Analyzing frequency data relating to problems, causes and categories.




Fishbone diagram
A brainstorming tool used to draw out possible causes for an effect.

Used for:




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Associating and representing causes for an effect in one diagram.

Used when:

After data has been collected.




5 why analysis
Iterative probing technique used to get to the root-cause of a problem.

Used in conjunction with the fishbone diagram and helps uncover the
root causes of performance issues.
Run chart
A line chart that visually displays data over a period of time.

aka "Trend" or "Time Series" chart.

Used for:

Identifying process variations, patterns or trends that may exist in data,
aiding in identifying potential performance issues.

Used when:




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