File Info
| Exam | IASSC Certified Lean Six Sigma Black Belt |
| Number | ICBB |
| File Name | Six Sigma.ICBB.VCEplus.2024-08-23.193q.tqb |
| Size | 3 MB |
| Posted | Aug 23, 2024 |
| Download | Six Sigma.ICBB.VCEplus.2024-08-23.193q.tqb |
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Demo Questions
Question 1
Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).
- The dependent variable is the outside temperature
- The relationship between outside temperature and number of customers per hour is a Linear Regression
- The dashed lines indicate with 95% confidence where all of the process data should fall between
- The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line
- The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C
Correct answer: DE
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 statement(s) are incorrect about Fractional Factorial Designs?
- A Half Fractional Design for 5 factors has the same number of experimental runs as a Full Factorial Design for 4 factors assuming no repeats or replicates or Center Points
- Quarter Fractional experiments can exist for those with 4 factors
- Resolution V design is desired while controlling costs of experimentation
- Half Fractional experiments do not exist for those designs with only 2 factors
Correct answer: C
Question 9
If in an experiment all possible variable pairs sum to zero the design is Orthogonal.
- True
- False
Correct answer: A
Question 10
Review the analysis shown here. Which statements are true about the process? (Note: There are 3 correct answers).
- The initial focus for this project would be to determine why the thicknesses are so frequently too low
- The majority of the process is closer to the lower specification limit
- This process is described with the Weibull Distribution
- The process has more problems with Variation than Centering
- The process follows a non-normal distribution with the given data
Correct answer: BDE
