A management methodology that uses only statistical tools to improve customer experience.
A customer-focused problem-solving methodology that uses powerful statistical tools to reduce variation and improve processes.
A management methodology that is primarily focused on achieving financial results.
A customer-focused problem-solving methodology used exclusively within the manufacturing sector.
Lead Small Projects.
Coach and mentor other Six Sigma Practitioners.
2, 5, 1, 4, 3
1, 2, 5, 4, 3
3, 2, 1, 5, 1
2, 1, 5, 4, 3
We can expect 3.2 defects per million opportunities.
It has a yield of 99.997%
We can expect 3.4 defects per million opportunities.
It has a yield of 99.9967%
5 to 15
4 to 16
2 to 8
6 to 14
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.
Flatter than the Normal Distribution.
Narrower than a Normal Distribution.
Same as a Normal Distribuiton.
None of the above answers.
Special Cause variation.
X bar R Chart.
Individuals and Moving Range.
Continue taking data measurements to confirm your belief.
Stop and identify the Special Causes.
Stop, identify the special Causes and eliminate them.
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.
The process is capable.
The process is capable but not centered.
The process is highly capable and centered.
The process is not capable.
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.
X Bar and R Chart.
X Bar and the Standard Deviation Chart.
X Bar and the Variance Chart.
X Bar and the Mean Chart.
Master Black Belts
X bar R Control Chart
Cumulative Frequency Graph
Data Driven, Creative, Streamlined
Customer Focused, Data Driven, ROI Oriented
Customer Focused, Statistical Emphasis, Conformity - Driven
Data Driven, Methodical, ROI Oriented
3 Sigma, 3.4 DPMO
4.5 Sigma, 233 DPMO
5.0 Sigma, 233 DPMO
6 Sigma, 3.4 DPMO
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
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
6 to 10 minutes
7 to 9 minutes
6.5 minutes to 9.5 minutes
3 minutes to 12 minutes
Mean and Standard Deviation
Mean and Range
Mean and Variance
Grand Average and Variance
Positive and Linear
The process is centered but not capable
The process is not in control
The process is not capable
The Process is centered and capable
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
Special Cause Variation
Common Cause Variation
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
Changes in materials
Wear of machinery
A Process Map
Voice of the Customer
Need to know the mean to compute
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
Voice of the Process
Voice of the Customer