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| Section | Weight | Objectives |
|---|---|---|
| Enterprise-wide Deployment | 6% | - Systems and change management - Team formation and training - Team performance evaluation - Organization objectives and deployment planning |
| Management and Leadership | 17% | - Communication and presentation skills - Risk assessment and management - Performance metrics and balanced scorecard - Coaching and mentoring - Team leadership and conflict resolution |
| Statistical Analysis | 20% | - Correlation and regression analysis - Descriptive statistics (mean, median, mode, std dev, variance) - Probability distributions (Normal, Binomial, Poisson, Exponential) - Analysis of variance (ANOVA) - Inferential statistics and confidence intervals - Non-parametric tests - Hypothesis testing (t-test, F-test, chi-square test) |
| DFSS (Design for Six Sigma) | 12% | - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for reliability and FMEA - Design for manufacturability - QFD (Quality Function Deployment) |
| Process Optimization | 20% | - Design of Experiments (DOE) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Process control and SPC - Measurement system analysis (MSA/Gage R&R) - Lean tools and waste elimination - Process capability analysis (Cp, Cpk, Pp, Ppk) - Value stream mapping - Cycle time reduction - Root cause analysis and corrective action |
| 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 |
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NEW QUESTION # 243
Relative to a Design of Experiments the term Collinear refers to variables being a ________________ of each other.
Answer: C
Explanation:
Explanation/Reference:
NEW QUESTION # 244
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: C
NEW QUESTION # 245
In ANOVA, the term "treatment" is also known as
Answer: B
Explanation:
The correct answer is B. factor . In the CSSBB ANOVA material, the assumptions are stated in terms of factor treatments or levels , showing that treatment refers to the different conditions or levels associated with an independent variable in the experiment. The DOE terminology section further explains that qualitative descriptors such as different machines, operators, or materials can represent qualitative levels or treatments
, which ties treatments directly to the experimental factor being studied.
A response is the dependent output being measured, not the treatment. Replication means repeated trials under the same conditions, and residual refers to unexplained error or the difference between observed and predicted values. In ANOVA, the total variation is partitioned into variation among treatment means and random error, so the "treatments" are the groups defined by the factor levels being compared. Therefore, the best CSSBB-based answer is B. factor .
NEW QUESTION # 246
Sally and Sara sell flower pots at their garage sale. Martha motivates Rose mentioning that they will sell a minimum of 16 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 15.2 pots per day were sold with a Standard Deviation of 0.6 pots. What is the Z value for this sales process?
Answer: D
NEW QUESTION # 247
The ultimate goal of benchmarking is to
Answer: B
Explanation:
The correct answer is C. achieve best-in-class performance . The CSSBB-aligned benchmarking material defines benchmarking as determining the best practices, performance, products, or services for comparison to one's own organization, and it notes that "best" becomes the standard to beat . This directly supports the idea that benchmarking is not just about gathering information or identifying leaders; its real purpose is to drive the organization toward superior performance.
Benchmarking can certainly help identify industry leaders, establish reference points, and support strategic thinking, but those are intermediate uses rather than the ultimate objective. The end goal is performance improvement through learning from the best available standard. The same material lists best-in-class benchmarking as a distinct form, asking which competitor is functionally best, which reinforces that organizations benchmark in order to close performance gaps and move toward top-tier capability. In Six Sigma and Lean environments, benchmarking is valuable only if it leads to improved results, not just comparison. Therefore, the best verified answer is C. achieve best-in-class performance .
NEW QUESTION # 248
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