File Info
| Exam | Lean Six Sigma Black Belt |
| Number | LSSBB |
| File Name | Six Sigma.LSSBB.PrepAway.2018-11-26.178q.vcex |
| Size | 1 MB |
| Posted | Nov 26, 2018 |
| Download | Six Sigma.LSSBB.PrepAway.2018-11-26.178q.vcex |
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Demo Questions
Question 1
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 2
Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).
- When the cutting speed increased from low to high level, the tool age increases
- The coefficient of the metal hardness is positively related to the output of tool age
- The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
- These plots prove a statistically significance factor with 95% confidence
- These plots are an example of interaction plots
Correct answer: ABC
Question 3
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
Question 4
If an experiment has 5 factors and no replicates for a 2-level Experimental Design with 16 experimental runs which statement is incorrect?
- The Experimental Design is half-fractional
- The Main Effects are confounded with only 4-way interactions
- The Main Effects for the 5 factors are not aliased or confounded but the 2-way interactions are confounded with the 3-way interactions
- The experiment has 8 experimental runs with the first factor at the high level
Correct answer: C
Question 5
Which statement(s) are correct about the Pareto Chart shown here for the DOE analysis? (Note: There are 2 correct answers).
- It is unknown from this graph how many factors were in the Experimental Design
- The factors to keep in the mathematical model are E, D, DE, BD and B with an alpha risk equal to 2.06
- The effects to keep in the mathematical model are E, D, DE, BD and B with an alpha risk equal to 0.05
- The factors to keep in the mathematical model with a 5% alpha risk are BE, AB, A and AD
Correct answer: AC
Question 6
Fractional Factorial, ____________and Response Surface Method are types of planned experiments.
- Multi-Vari Analysis
- Baldridge Channels
- One Factor at a Time or OFAT
- Factorial Design
Correct answer: D
Question 7
Relative to a Design of Experiments the term ________________ refers to variables being a linear combination of each other.
- Mirror Image
- Directly Parallel
- Collinear
- None of the above
Correct answer: C
Question 8
Which Experimental Design typically is most associated with the fewest number of input variables or factors in the design?
- Fractional Factorial design
- Full Factorial design
- Simple Linear Regression
- Response Surface Design
Correct answer: D
Explanation:
Question 9
The method of Steepest Ascent guides you toward a target inside the original inference space.
- True
- False
Correct answer: B
Question 10
Situations where standardized work needs to be incorporated include all of these except _____________________.
- Machines continually operating to reduce the labor cost per piece
- Lack of a system to assure proper inventory levels at repair stations
- Changeover instructions incomplete
- Process flow for the same product assembly taking various cycle time for completion
Correct answer: A
