This Black Belt W24 Certification Review assesses knowledge in Six Sigma methodologies, focusing on DMAIC process, error analysis, and process yield calculations.
99%
97%
95%
90%
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Is linked with the Project Definition/Scoping and provides input to the Measure phase
Stands alone in the methodology, but is always necessary
Is not necessary when the project is mandated by top management
None of the above
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Another term for the population
A sample from the population
A list of items representing the population
The RDMAIC methodology
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Identified
Quantified
Eliminated or controlled
All of the Above
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89%
77%
73%
Approximately 30%
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Implies 99.73% of the output will meet customer requirements
Represents 3.4 defects per million opportunities
Equates to a capability index of 1.33
Provides half the defects of a 3 Sigma level of quality
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Time, Resources, Money
Delivery, Price, Resources
Quality, Cost, Resources
Cost, Delivery, Quality
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Communication of the process
Identification of bottle necks
Identification of non-value added steps
All of the above
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Process owner
Customer
Process
Black Belt
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3 standard deviations
50% of the total area
99% of the total area
A and B
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True
False
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10,000
1,000
7,000
Cannot be determined
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Systematic Random Sampling
Simple Random Sampling
Complex Random Sampling
None of the Above
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Black Belt
Only the number of samples used in the subgroup
The process and are set at 6 standard deviations from the mean
The customer
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Zero
Less than the median
Greater than the median
Equal to the median
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Show how to improve a metric
Show the critical metrics to monitor
Show the solution to a problem
All of the above
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13.8
12.8
11.8
10.8
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Process Description
Customers
Inputs/Outputs
All of the above
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Identify gaps in the process
Identify value added and non-value added steps
Train new employees on the process
Identify bottlenecks in the processes
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Center the process on target and to reduce variation
Have zero defects
Determine what constitutes a statistically significant sample
A and B
None of the above
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Zero
Less than the Mean
Greater than the Mean
Equal to the Mean
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13.7
10.8
15.8
11.8
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86%
90%
96%
97%
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Prioritizing outputs
Calculating variation
Listing inputs
Correlating inputs and outputs
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5.0
1.5
1.0
8.7
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DPU, Probability of Occurrence, Difficulty to detect
DPMO, Severity, Difficulty to Detect
Severity, Probability of Occurrence, Z-score
Severity, Probability of Occurrence, Difficulty to Detect
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.8315
.1949
.8051
.8264
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19
24
29
None of the above
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Process Owner
Process
Customer
Black Belt
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Linearity
Accuracy
Reproducibility
Repeatability
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Determine customer requirements, Validate the measurement system, Develop a data collection plan, Collect baseline data, Identify possible solutions
Determine customer requirements, Collect baseline data, Develop a data collection plan, Validate the measurement system, Identify possible solutions
Determine customer requirements, Validate the measurement system, Collect baseline data, Develop a data collection plan, Identify possible solutions
Validate the measurement system, Determine customer requirements, Develop a data collection plan, Collect baseline data, Identify possible solutions
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0.1974
0.1673
0.1760
None of the above
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True
False
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True
False
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2.05
1.88
2.33
None of the above
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Detect assignable causes of variation in the process
Detect nonconforming product
Measure the performance of all quality characteristics of a process
None of the above
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Nominal
Ordinal
Continuous
Interval
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True
False
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Xbar and R chart
I-MR Chart
Np Chart
C chart
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I-MR chart
Np chart
Xbar and R chart
C chart
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Attribute data
Unequal subgroup sizes
Small amounts of data
Both A & B
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Sort the data from high to low
Keep the data in original time order
Sort the data from low to high
None of the above
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U Chart
C Chart
P or Np Chart
Xbar S Chart
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U Chart
C Chart
P Chart
Xbar S Chart
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U or C Charts
P Chart
IMR Chart
Np Chart
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Xbar S Chart
Xbar R Chart
P chart
U Chart
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P Chart
IMR Chart
Xbar R Chart
U Chart
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P Chart
U Chart
IMR Chart
Xbar R Chart
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Quiz Review Timeline (Updated): Apr 12, 2024 +
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