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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Process Optimization | 20% | - Measurement system analysis (MSA/Gage R&R) - Cycle time reduction - Design of Experiments (DOE) - Process capability analysis (Cp, Cpk, Pp, Ppk) - Lean tools and waste elimination - Value stream mapping - Root cause analysis and corrective action - Process control and SPC - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) |
| Topic 2: Statistical Analysis | 20% | - Analysis of variance (ANOVA) - Non-parametric tests - Descriptive statistics (mean, median, mode, std dev, variance) - Probability distributions (Normal, Binomial, Poisson, Exponential) - Hypothesis testing (t-test, F-test, chi-square test) - Inferential statistics and confidence intervals - Correlation and regression analysis |
| Topic 3: Enterprise-wide Deployment | 6% | - Systems and change management - Team formation and training - Organization objectives and deployment planning - Team performance evaluation |
| Topic 4: DMAIC | 25% | - Analyze: hypothesis testing, ANOVA, regression, chi-square - Improve: DOE, response surface methodology, optimization - Define: VOC, VOB, project charter, SIPOC - Control: control plans, SPC, feedback monitoring - Measure: data collection, descriptive statistics, graphical analysis |
| Topic 5: DFSS (Design for Six Sigma) | 12% | - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for reliability and FMEA - QFD (Quality Function Deployment) |
| Topic 6: Management and Leadership | 17% | - Risk assessment and management - Team leadership and conflict resolution - Communication and presentation skills - Coaching and mentoring - Performance metrics and balanced scorecard |
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NEW QUESTION # 34
At a particular time, three components are in parallel and each has a reliability of 0.98. What is the reliability of the system?
Answer: E
NEW QUESTION # 35
A(n) ________________ has occurred when two inputs have a greater impact on a change in the output than either of the inputs has by itself.
Answer: A
Explanation:
Explanation
NEW QUESTION # 36
Based on the ANOVA information shown, how many factors are statistically significant?
Answer: B
Explanation:
The correct answer is B, 2. In Analyze Phase statistical interpretation, significance is determined by comparing each factor's p-value to the chosen alpha level or by comparing the calculated test statistic to the critical threshold. Factors with p-values below alpha are considered statistically significant because the data provide sufficient evidence that those factors have a real effect on the response. ANOVA is used by Black Belts to separate meaningful factor effects from random variation and to determine which inputs should receive further attention in process improvement or optimization. In the information provided for this question, two factors meet the significance criterion, while the others do not. This means the team should focus on those two factors as likely drivers of variation in the response. Understanding which factors are significant is critical because it helps avoid wasting effort on variables that do not materially affect process performance. Therefore, the correct answer is B, 2, because two factors in the ANOVA output show statistical significance based on the decision rule implied by the problem.
NEW QUESTION # 37
Review the analysis shown here.
Which statements are true about the process? (Note: There are 3 correct answers).
Answer: A,D,E
NEW QUESTION # 38
Early in a project a Belt will want to begin to identify and evaluate risk factors for the subject process and will therefore begin building a(n) ________.
Answer: D
NEW QUESTION # 39
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