File Info
| Exam | IASSC Certified Lean Six Sigma Black Belt |
| Number | ICBB |
| File Name | Six Sigma.ICBB.ExamCollection.2019-09-26.120q.vcex |
| Size | 742 KB |
| Posted | Sep 26, 2019 |
| Download | Six Sigma.ICBB.ExamCollection.2019-09-26.120q.vcex |
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Demo Questions
Question 1
A ___________ is used primarily to track the stability of the average value of a metric of interest.
- NP Chart
- Xbar-R Chart
- I-MR Chart
- C Chart
Correct answer: B
Question 2
For her injection molding project a Belt needed to track the percentage of defectives of a particular sample set so she used a ___________ to display the data?
- Individual Chart
- C Chart
- Xbar Chart
- P Chart
Correct answer: D
Question 3
Control Charts were developed by Dr. Shewhart to track data over time. To detect Special Cause variation the Control Charts use which of these?
- Data shift analysis
- Outlier analysis methods
- Center Line and Control Limits
- None of the above
Correct answer: C
Question 4
Special Cause Variation falls into which two categories?
- Natural & Unnatural
- Short Term & Long Term
- Assignable & Pattern
- Attribute & Discreet
Correct answer: C
Question 5
Range Charts are the technique used to determine if Special Causes are occurring within the subgroups of the ______________.
- Histograms
- SPC Charts
- NP Charts
- Pareto Charts
Correct answer: B
Question 6
If the production is for higher volume and monitoring and the Mean and variability is to be monitored for four machines producing product and the characteristic to be monitored is Variable Data, which SPC Chart is best to be selected?
- Xbar-R Chart
- Individual-MR Chart
- NP Chart
- CUSUM Chart
Correct answer: A
Question 7
When a Belt Poka-Yoke’s a defect out of the process entirely then she should track the activity with a robust SPC system on the characteristic of interest in the defect as an early warning system.
- True
- False
Correct answer: B
Question 8
Following the completion of a LSS project the Belt not only creates a Control Plan he also develops a _____________ so those involved in the process know what to do when the critical metrics move out of spec.
- Response Plan
- Call List
- Chain-of-Command
- Defect Analysis Plan
Correct answer: A
Question 9
What conclusion is most correct about the Experimental Design shown here with the response in the far right column?
- No factor has enough statistical confidence greater than 95% to have an impact on the response rate
- Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more
- If the Adv is increased from the low level to the high level, the response rate increases
- The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate
- This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output
Correct answer: D
Question 10
How many experimental runs exist in a Full Factorial and fully randomized design for 4 factors with 2 replicates for the Corner Points and no Center Points? The factors in the experiment are only at 2-levels.
- 10
- 32
- 256
- 64
Correct answer: B
