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| Section | Objectives |
|---|---|
| Control Phase | - Control plans - Statistical process control (SPC) - Monitoring and sustaining improvements |
| Improve Phase | - Solution generation and selection - Lean tools and process optimization - Design of experiments (DOE) |
| Six Sigma and Organizational Goals | - Lean principles and Six Sigma integration - Organizational goals and Six Sigma projects |
| Define Phase | - Project charters and stakeholder analysis - Project identification and selection - Voice of the customer (VOC) and CTQ |
| Analyze Phase | - Regression and correlation analysis - Root cause analysis - Hypothesis testing - Failure modes and effects analysis (FMEA) |
| Measure Phase | - Data collection and sampling methods - Process mapping and measurement systems - Measurement system analysis (MSA) - Process capability analysis |
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NEW QUESTION # 256
Which of these elements are not included in Implementation plans?
Answer: D
NEW QUESTION # 257
Those people who have a interest in the outputs of a process are known as _____________________.
Answer: D
NEW QUESTION # 258
Which of the following symbols is used to denote a sample standard deviation?
Answer: C
Explanation:
The correct answer is D. s . In CSSBB statistics, there is a clear distinction between population parameters and sample statistics . The population mean is denoted by # , the population standard deviation by # , and sample-based estimates are represented by sample statistics. The CSSBB hypothesis-testing formulas explicitly show the t test using S when the population standard deviation is unknown, which indicates the sample standard deviation . The CSSBB materials also define a parameter as the true population value and a statistic as a numerical value taken from a sample and used to infer the population.
That means # is reserved for the population standard deviation, while s is the notation used for the sample standard deviation. The symbols # and # represent different population characteristics, not sample spread.
This distinction is important in Six Sigma because many analyses, such as t tests and confidence intervals, rely on sample estimates when the true population variability is unknown. Therefore, the verified answer is D.
s .
NEW QUESTION # 259
If a Six Sigma project was to reduce repair station inventory and the team found the inventory was creeping up over time which Lean tools should be considered in the Control Phase to reestablish and sustain the project success?
Answer: D
NEW QUESTION # 260
Based on the ANOVA information shown, how many factors are statistically significant?
Answer: C
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 # 261
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