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| Section | Weight | Objectives |
|---|---|---|
| Enterprise-wide Deployment | 6% | - Organization objectives and deployment planning - Systems and change management - Team formation and training - Team performance evaluation |
| DMAIC | 25% | - Control: control plans, SPC, feedback monitoring - Analyze: hypothesis testing, ANOVA, regression, chi-square - Improve: DOE, response surface methodology, optimization - Define: VOC, VOB, project charter, SIPOC - Measure: data collection, descriptive statistics, graphical analysis |
| Statistical Analysis | 20% | - Analysis of variance (ANOVA) - Probability distributions (Normal, Binomial, Poisson, Exponential) - Descriptive statistics (mean, median, mode, std dev, variance) - Inferential statistics and confidence intervals - Hypothesis testing (t-test, F-test, chi-square test) - Non-parametric tests - Correlation and regression analysis |
| Process Optimization | 20% | - Lean tools and waste elimination - Value stream mapping - Measurement system analysis (MSA/Gage R&R) - Process capability analysis (Cp, Cpk, Pp, Ppk) - Design of Experiments (DOE) - Root cause analysis and corrective action - Cycle time reduction - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Process control and SPC |
| DFSS (Design for Six Sigma) | 12% | - Design for reliability and FMEA - QFD (Quality Function Deployment) - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) |
| Management and Leadership | 17% | - Performance metrics and balanced scorecard - Team leadership and conflict resolution - Coaching and mentoring - Communication and presentation skills - Risk assessment and management |
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NEW QUESTION # 216
The Hardware Store ordered ten lawn mower from the manufacturer and just before shipping the manufacturer found one to have a motor that wouldn't start. For the manufacturer this would be categorized as what type of cost?
Answer: D
NEW QUESTION # 217
The mean of a Poisson distribution is 2.94. It's variance is:
Answer: B
NEW QUESTION # 218
In the factorial design main-effects plot shown, which factor setting gives the lower response?
Answer: A
Explanation:
The correct answer is D, Factor B low, because the main-effects plot indicates that the response is lowest at the low setting of factor B. In a main-effects plot, the average response is plotted at each level of each factor, and the team compares the height of those plotted means to determine which settings increase or decrease the outcome. The factor level associated with the lowest plotted point gives the lowest average response. In Six Sigma Analyze and Improve work, this is a fundamental DOE interpretation skill. Black Belts use main- effects plots to identify which factor settings move the response in the desired direction and to determine promising operating conditions for further study or optimization. The steeper the line, the stronger the main effect of that factor on the response. This question focuses only on identifying the lowest response setting, and from the plot that point occurs at factor B low. Therefore, the correct answer is D, because the low level of factor B corresponds to the minimum response among the settings shown.
NEW QUESTION # 219
A Personal Trainer was assessing her workout class participants for their body fat content and had to include data for her analysis. One of the columns listed the range of weight of the people included in the studies. This required plotting a Histogram of the weight of the people assessed for their body fat content.
While drawing the Histogram the x-axis contained a certain scale of data. Pick the scale of data that is appropriate for Histograms.
Answer: D
NEW QUESTION # 220
In a certain sampling situation, = 0, = 0.08. The power of the sampling plan in this case is:
Answer: C
NEW QUESTION # 221
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