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| Section | Weight | Objectives |
|---|---|---|
| Statistical Analysis | 20% | - Non-parametric tests - Correlation and regression analysis - Probability distributions (Normal, Binomial, Poisson, Exponential) - Analysis of variance (ANOVA) - Inferential statistics and confidence intervals - Hypothesis testing (t-test, F-test, chi-square test) - Descriptive statistics (mean, median, mode, std dev, variance) |
| Process Optimization | 20% | - Process control and SPC - Value stream mapping - Measurement system analysis (MSA/Gage R&R) - Design of Experiments (DOE) - Lean tools and waste elimination - Cycle time reduction - Root cause analysis and corrective action - Process capability analysis (Cp, Cpk, Pp, Ppk) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) |
| Enterprise-wide Deployment | 6% | - Team performance evaluation - Team formation and training - Organization objectives and deployment planning - Systems and change management |
| DMAIC | 25% | - Analyze: hypothesis testing, ANOVA, regression, chi-square - Measure: data collection, descriptive statistics, graphical analysis - Define: VOC, VOB, project charter, SIPOC - Control: control plans, SPC, feedback monitoring - Improve: DOE, response surface methodology, optimization |
| Management and Leadership | 17% | - Risk assessment and management - Communication and presentation skills - Team leadership and conflict resolution - Performance metrics and balanced scorecard - Coaching and mentoring |
| DFSS (Design for Six Sigma) | 12% | - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for reliability and FMEA - QFD (Quality Function Deployment) |
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NEW QUESTION # 209
Sally and Sara sell flower pots at their garage sale. Sally motivates Sara mentioning that they will sell a minimum of 15 pots per day if the outside temperature exceeds 60o F.
From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 13.6 pots per day were sold with a Standard Deviation of 0.7 pots. For the sales accomplished above, what test would validate if they met their requirements?
Answer: B
NEW QUESTION # 210
One of the primary deliverables from performing a SIPOC is to begin to understand which outputs have the greatest affect on the customer most valued inputs.
Answer: B
NEW QUESTION # 211
Find the value of (11) in the ANOVA table. Assume:
Answer: A
NEW QUESTION # 212
A Belt is analyzing data and upon creation of the graphical analysis sees multiple modes. One of the primary reasons this could occur is because the process has experienced a ____________________.
Answer: C
NEW QUESTION # 213
Based on the ANOVA information shown, how many factors are statistically significant?
Answer: A
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 # 214
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