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| Section | Weight | Objectives |
|---|---|---|
| Statistical Analysis | 20% | - Hypothesis testing (t-test, F-test, chi-square test) - Correlation and regression analysis - Analysis of variance (ANOVA) - Inferential statistics and confidence intervals - Probability distributions (Normal, Binomial, Poisson, Exponential) - Descriptive statistics (mean, median, mode, std dev, variance) - Non-parametric tests |
| DMAIC | 25% | - 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 - Analyze: hypothesis testing, ANOVA, regression, chi-square |
| DFSS (Design for Six Sigma) | 12% | - Design for reliability and FMEA - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for manufacturability - QFD (Quality Function Deployment) |
| Enterprise-wide Deployment | 6% | - Organization objectives and deployment planning - Systems and change management - Team performance evaluation - Team formation and training |
| Process Optimization | 20% | - Design of Experiments (DOE) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Root cause analysis and corrective action - Process capability analysis (Cp, Cpk, Pp, Ppk) - Lean tools and waste elimination - Cycle time reduction - Process control and SPC - Value stream mapping - Measurement system analysis (MSA/Gage R&R) |
| Management and Leadership | 17% | - Team leadership and conflict resolution - Risk assessment and management - Communication and presentation skills - Performance metrics and balanced scorecard - Coaching and mentoring |
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NEW QUESTION # 39
A test for independence of the variables shown in the table below (alternative vs. result) produced a test statistic with a value of #² = 17.0.
At a significance level of # = 0.05, which of the following conclusions can be made?
Answer: C
Explanation:
This is a chi-square test of independence, used in the Analyze Phase to determine whether two categorical variables are related. The null hypothesis states that the variables are independent, while the alternative hypothesis states that they are dependent. The table shows 6 result categories (M, N, O, P, Q, R) and 2 alternative categories (A, B), so the degrees of freedom are calculated as (rows # 1) × (columns # 1) = (6 # 1)
× (2 # 1) = 5. For # = 0.05 and 5 degrees of freedom, the critical chi-square value is 11.07. The test statistic given is #² = 17.0. Since 17.0 is greater than 11.07, the result falls in the rejection region, so the null hypothesis must be rejected. That means there is sufficient statistical evidence to conclude that the variables are not independent and are therefore dependent. In Six Sigma analysis, this kind of result indicates that category membership in one variable is associated with category membership in the other, which can guide further root-cause investigation and decision-making.
NEW QUESTION # 40
An increase in which of the following costs of quality will result in a reduction of total quality costs?
Answer: A
Explanation:
The correct answer is A. Prevention . In the CSSBB quality-cost model, prevention costs are the costs of activities specifically designed to prevent poor quality in products or services. The source also explains that many companies initially spend too little on prevention and that increasing prevention can significantly reduce failure costs. In fact, the CSSBB material notes that some authorities contend that every dollar spent on prevention can save approximately seven dollars in failure costs .
The optimum quality-cost model further shows that as prevention and appraisal costs increase , failure costs decrease until an optimum total-cost point is reached. However, when asked which increase will result in a reduction of total quality costs , the best answer is prevention, because prevention attacks the root cause before defects occur. Appraisal mainly detects problems, while internal and external failure costs are already consequences of poor quality. Therefore, from a CSSBB perspective, the most effective cost category to increase in order to reduce total quality costs is prevention cost .
NEW QUESTION # 41
A team is investigating ways to reduce power outages. They determine that an outage can occur in only three ways: grid failure, local transformer failure or local overload. They then investigate each of these three events for possible causes, etc. They draw a diagram that "fans out" using the power outage as the handle of the fan. These improvements are best described by which approach to problem solving?
Answer: G
NEW QUESTION # 42
A team wants a technique for determining and displaying priorities based on frequency of various defect types. They should use:
Answer: C
NEW QUESTION # 43
Find Cp
Answer: C
NEW QUESTION # 44
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