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| Section | Objectives |
|---|---|
| Topic 1: Improve Phase | - Solution generation and selection - Design of experiments (DOE) - Lean tools and process optimization |
| Topic 2: Control Phase | - Statistical process control (SPC) - Control plans - Monitoring and sustaining improvements |
| Topic 3: Measure Phase | - Process mapping and measurement systems - Process capability analysis - Measurement system analysis (MSA) - Data collection and sampling methods |
| Topic 4: Six Sigma and Organizational Goals | - Organizational goals and Six Sigma projects - Lean principles and Six Sigma integration |
| Topic 5: Define Phase | - Project charters and stakeholder analysis - Voice of the customer (VOC) and CTQ - Project identification and selection |
| Topic 6: Analyze Phase | - Root cause analysis - Failure modes and effects analysis (FMEA) - Regression and correlation analysis - Hypothesis testing |
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NEW QUESTION # 269
When a Black Belt is running a designed experiment, which of the following details can be determined only after data collection?
Answer: D
Explanation:
In DOE, factors, blocks, and design resolution are determined during experiment planning, before data are collected. Factors are the independent variables selected for study, blocks are chosen to account for nuisance variation, and resolution is part of the experimental design selection. The CSSBB supplemental material explains that factors and blocks are design elements established in advance, while resolution reflects the level of confounding and is also chosen as part of the design setup. By contrast, the estimate of variance depends on the observed experimental results. The CSSBB materials describe the need for "an estimate of the inherent error variation" and place this in the context of replication, power, and post-data understanding of noise in the system. That variance estimate comes from the collected response data and is not fully known until the experiment has been run. This is fundamental in Analyze Phase thinking, because the team uses the experimental results to quantify error, assess significance, and separate signal from noise. Therefore, among the listed choices, the only item that can be determined only after data collection is the estimate of variance.
NEW QUESTION # 270
Calculate the main effect of factor A:
Answer: A
NEW QUESTION # 271
Here is a partial ANOVA table. Use = 0.05. The values of x, y and z should be:
Answer: D
Explanation:
The formula is as follows MS = SS/dF = 1200/6 = 200 For the reference, see the table to derive Fstatistic and Fcritical http://www.sussex.ac.uk/Users/grahamh/RM1web/F-ratio%20table%202005.pdf
NEW QUESTION # 272
Which of the following formulas represents the standard deviation of the sampling distribution of the sample mean?
Answer: C
Explanation:
The standard deviation of the sampling distribution of the sample mean is given by #x# = # / #n. This quantity is commonly called the standard error of the mean. It shows how much the sample mean is expected to vary from sample to sample when repeated samples of size n are taken from the same population. In Six Sigma Measure Phase analysis, this relationship is important because it explains why subgroup means are more stable than individual observations. As sample size increases, the denominator #n becomes larger, so the variation of the sample mean becomes smaller. That means larger samples produce more precise estimates of the population mean. This concept supports confidence intervals, hypothesis tests, x-bar chart limits, and sampling distribution logic used throughout Black Belt work. The incorrect formulas either increase variation with sample size or reverse the relationship entirely. Therefore, the correct answer is A, because the standard deviation of the sample mean decreases as the square root of the sample size increases.
NEW QUESTION # 273
Special Cause Variation falls into which two categories? (Note: There are 2 correct answers).
Answer: B,D
Explanation:
Explanation
NEW QUESTION # 274
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