Are you preparing for the Six Sigma Green Belt Certification exam? Test your knowledge and readiness with our comprehensive Six Sigma Green Belt Certification Quiz. This quiz is designed to help you master key concepts and methodologies such as DMAIC (Define, Measure, Analyze, Improve, Control), Lean principles, process improvement tools, and statistical analysis techniques.
With carefully crafted questions that See moresimulate the real exam, you’ll gain insights into your strengths and identify areas that need further study. Learn about topics like process mapping, root cause analysis, variance reduction, and control charts to build your confidence and achieve your Green Belt. Take the quiz now to see how prepared you are for your Six Sigma journey!
Data Gathering
Analysis
Lead Small Projects.
Coach and mentor other Six Sigma Practitioners.
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5 to 15
4 to 16
2 to 8
6 to 14
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Bell-shaped, a variance of 1, the mean=median=mode.
Bell-shaped, symmetrical about the mean, a single mode.
Un-Symmetrical about the mean, a natural tolerance of three standard deviations, unimodal.
Symmetrical about the mean, bell-shaped, discrete data.
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Flatter than the Normal Distribution.
Narrower than a Normal Distribution.
Same as a Normal Distribuiton.
None of the above answers.
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Special Cause variation.
Natural Variation.
Out-the-ordinary varation.
Non-random variation.
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1,3,4,5
1,2,4
1,2,4,5
1,4,5
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Np chart.
X bar R Chart.
P Chart.
Individuals and Moving Range.
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Trend
In-Control
Predictable
Stable
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Do nothing.
Continue taking data measurements to confirm your belief.
Stop and identify the Special Causes.
Stop, identify the special Causes and eliminate them.
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The process is in-control (within the UCL and LCL).
The process appears to be too table and should be questioned.
The process needs to be checked for special causes.
The wrong control chart has been selected.
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10
5
20
100
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Positive
Negative
No Correlation
Linear
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4,4,5
3,5,4
4,3,5
4,5,5
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Failure Mode and Effects Analysis (FMEA)
Control Charts
Pareto Chart
Ishikawa Diagram
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The process is capable.
The process is capable but not centered.
The process is highly capable and centered.
The process is not capable.
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300
1,800
2,000
20,000
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Control Chart
Pareto Chart
SIPOC Diagram
Fishbone Diagram
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Consult with your legal department.
Develop the appropriate control chart.
It is still a normal distribution.
Stop the process and bring it back into control.
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X Bar and R Chart.
X Bar and the Standard Deviation Chart.
X Bar and the Variance Chart.
X Bar and the Mean Chart.
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P Chart
R Chart
NP Chart
C Chart
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5,2,3,4,1
2,5,3,4,1
1,2,5,3,4
5,1,2,4,3
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1,3,5,6
1,4,5,6
1,5,6
1,2,4,5,6
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Champions
Master Black Belts
Steering Committee
Process Owners
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X bar R Control Chart
Pareto Chart
Histogram
Cumulative Frequency Graph
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Data Driven, Creative, Streamlined
Customer Focused, Data Driven, ROI Oriented
Customer Focused, Statistical Emphasis, Conformity - Driven
Data Driven, Methodical, ROI Oriented
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3 Sigma, 3.4 DPMO
4.5 Sigma, 233 DPMO
5.0 Sigma, 233 DPMO
6 Sigma, 3.4 DPMO
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Control Charts, Pareto Charts, Fish-Bone Diagrams
Pareto Charts, Capability Indices, Control Charts
Pareto Charts, Fish-Bone Diagrams, Scatter Plot Diagrams
Scatter Plot Diagrams, Pareto Charts, Correlation
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Construct a histogram, Prepare Control Charts, Calculate Capability Indices
Construct a SIPOC, Prepare Control Charts, Calculate Cp and Cpk.
Calculate the 3 measures of Central Tendency, Calculate Capability Indices, Prepare Control Charts
Prepare CTQs, Construct Control Charts, Calculate Capability Indices
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6 to 10 minutes
7 to 9 minutes
6.5 minutes to 9.5 minutes
3 minutes to 12 minutes
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Mean and Standard Deviation
Mean and Range
Mean and Variance
Grand Average and Variance
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4.86,4,3
4.86,3,4.5
5,3,4.5
4.86,3,4
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Define, Measure, Analyze, Implement, Control
Data, Methodology, Analysis, Implementation, Continuous Improvement
Direct, Manage, Analyze, Improve, Change
Document, Measure, Audit, Inspect, Correct
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Linear
Negative
Positive and Linear
No Correlation
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1,000,000
84,000
144,000
576,000
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99.73%
99.97%
99.997%
68.26%
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The process is centered but not capable
The process is not in control
The process is not capable
The Process is centered and capable
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There is no difference between the terms; both are used to indicate if a process is in control
Control Limits are set by the customers; Specification Limits are derived by the process
Control Limits are derived by the process; Specification Limits are set by the customer
Control Limits are typically 3 standard deviations from the mean; Specification Limits are typically 3 standard deviations from the target
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Random Variation
Special Cause Variation
Common Cause Variation
Inherent Variation
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Take immediate action to identify root causes of the common cause variation
Increase the specification limits to ensure the process is capable
Continually and gradually improve the stable process
Stop the process, identify the causes, and eliminate them
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New operators
Different shifts
Changes in materials
Wear of machinery
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A Process Map
Voice of the Customer
Critical-to-Quality Requirements
Project Charter
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72 minutes
18 minutes
6 minutes
Need to know the mean to compute
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As one variable changes, one cannot predict a value for the other variable
As one variable increases, the other variable decreases
As one variable decreases, the other variable decreases
As one variable decreases, the other variable increases
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Genichi Taguchi
W. Edwards Deming
Sir Ronald A. Fisher
Joseph Juran
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10
20
11
12
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.0913%
.00913%
.0781%
.00781%
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Voice of the Process
Voice of the Customer
Requirements Manipulation
QFC
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Quiz Review Timeline (Updated): Sep 16, 2024 +
Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.
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