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| Section | Weight | Objectives |
|---|---|---|
| DFSS (Design for Six Sigma) | 12% | - Design for reliability and FMEA - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for manufacturability - QFD (Quality Function Deployment) |
| Management and Leadership | 17% | - Team leadership and conflict resolution - Communication and presentation skills - Risk assessment and management - Performance metrics and balanced scorecard - Coaching and mentoring |
| DMAIC | 25% | - Control: control plans, SPC, feedback monitoring - Define: VOC, VOB, project charter, SIPOC - Measure: data collection, descriptive statistics, graphical analysis - Improve: DOE, response surface methodology, optimization - Analyze: hypothesis testing, ANOVA, regression, chi-square |
| Statistical Analysis | 20% | - Probability distributions (Normal, Binomial, Poisson, Exponential) - Correlation and regression analysis - Descriptive statistics (mean, median, mode, std dev, variance) - Analysis of variance (ANOVA) - Non-parametric tests - Hypothesis testing (t-test, F-test, chi-square test) - Inferential statistics and confidence intervals |
| Process Optimization | 20% | - Value stream mapping - Process capability analysis (Cp, Cpk, Pp, Ppk) - Cycle time reduction - Process control and SPC - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Design of Experiments (DOE) - Root cause analysis and corrective action - Measurement system analysis (MSA/Gage R&R) - Lean tools and waste elimination |
| Enterprise-wide Deployment | 6% | - Team formation and training - Organization objectives and deployment planning - Systems and change management - Team performance evaluation |
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NEW QUESTION # 146
A team developed the following plot to compare residuals versus fitted values. On the basis of this plot, which of the following conclusions can be drawn, if any?
Answer: A
Explanation:
A residuals-versus-fitted plot is used in the Analyze Phase to check model assumptions, especially constant variance. If the spread of the residuals grows as the fitted values increase, the plot indicates nonconstant variance, also called heteroscedasticity. In this figure, the residuals at lower fitted values are relatively clustered, while at higher fitted values the points spread farther apart vertically. That widening pattern shows that the amount of variation increases as the fitted value increases.
This means the equal-variance assumption is not supported. It is also not decreasing, because the spread clearly becomes larger rather than smaller. The plot provides enough visual evidence to make a conclusion, so
"insufficient information" is not the best choice. In Six Sigma statistical analysis, this kind of pattern is important because increasing variance can weaken model validity, distort significance tests, and reduce confidence in predictions. A Black Belt would usually investigate transformation, model refinement, or subgroup effects when this pattern appears. Therefore, the correct answer is C, because the residual plot shows that the variance is increasing as fitted values increase.
NEW QUESTION # 147
Fractional Factorial Designs are used to analyze factors to model the output as a function of inputs if Hypothesis Testing in the Analyze Phase was inadequate to sufficiently narrow the factors that significantly impact the output(s).
Answer: B
NEW QUESTION # 148
A machine tool vender wants to sell an injection molding machine. The current machine produces
3.2% defectives. A sample of 1100 from the vender 's machine has 2.9% defective. Do these numbers indicate that the proposed machine has a lower rate of defectives?
Answer: B
NEW QUESTION # 149
A Six Sigma project designed to solve a particular problem needs a definition/scope statement to help avoid:
Answer: C
NEW QUESTION # 150
If a Six Sigma project was to reduce repair station inventory and the team found the inventory was creeping up over time which Lean tools should be considered in the Control Phase to reestablish and sustain the project success?
Answer: D
NEW QUESTION # 151
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