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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Define | 10% | - Project scope and charter - Voice of the customer - Stakeholder analysis - Project identification |
| Topic 2: Analyze | 15% | - Correlation and regression - Multivariate tools - Data analysis - Hypothesis testing |
| Topic 3: Organization-Wide Planning and Deployment | 15% | - Resource allocation - Organizational goals and objectives - Six Sigma deployment models - Leadership and roles |
| Topic 4: Team Management | 10% | - Tools and techniques - Team dynamics - Team formation - Team facilitation |
| Topic 5: Improve | 10% | - Design of experiments - Solution generation - Risk analysis - Implementation planning |
| Topic 6: Design for Six Sigma (DFSS) Frameworks and Methodologies | 5% | - Concept generation - DFSS methodologies - Robust design |
| Topic 7: Control | 10% | - Process monitoring - Control plans - Sustainment and knowledge transfer - Statistical process control |
| Topic 8: Organizational Process Management and Measures | 10% | - Process elements and boundaries - Business results - Performance measures - Benchmarking |
| Topic 9: Measure | 15% | - Process capability - Process analysis - Measurement systems analysis - Data collection - Probability and statistics |
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NEW QUESTION # 224
Two of the key deliverables for the Measure Phase are a robust description of the process and its flow and an assessment of the Management System.
Answer: B
NEW QUESTION # 225
The variable for an X# and R chart must be
Answer: D
Explanation:
The correct answer is D. continuous . The CSSBB supplemental material clearly categorizes Xbar-R under continuous data control charts . This means the measured characteristic used on an X# and R chart must be a variable (continuous) measurement , such as length, weight, diameter, time, or temperature. These charts are used when the data can take on values along a measurement scale and subgroup averages and ranges are meaningful.
Discrete data, such as counts of defects or pass/fail results, use different control charts such as p, np, c, or u charts , not X#-R charts. A variable does not need to be called "statistically significant" in order to be charted, and "in control" is a condition the chart helps evaluate rather than a requirement for the variable type itself. In Six Sigma, choosing the correct control chart depends first on the kind of data being collected.
Because X# and R charts are designed for variable measurements, the characteristic must be continuous .
Therefore, the verified CSSBB answer is D .
NEW QUESTION # 226
The relationship between a response variable and one or more independent variables is investigated and modeled by use of which of these?
Answer: B
NEW QUESTION # 227
Approximately what percent of the data values are smaller than the mean?
Answer: C
NEW QUESTION # 228
Which of these items contribute to what is necessary for successful Kaizen events?
Answer: C
NEW QUESTION # 229
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