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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design for Six Sigma (DFSS) Frameworks and Methodologies | 5% | - DFSS methodologies - Concept generation - Robust design |
| Topic 2: Improve | 10% | - Implementation planning - Risk analysis - Solution generation - Design of experiments |
| Topic 3: Team Management | 10% | - Team formation - Team dynamics - Team facilitation - Tools and techniques |
| Topic 4: Organization-Wide Planning and Deployment | 15% | - Six Sigma deployment models - Resource allocation - Leadership and roles - Organizational goals and objectives |
| Topic 5: Analyze | 15% | - Multivariate tools - Correlation and regression - Data analysis - Hypothesis testing |
| Topic 6: Define | 10% | - Voice of the customer - Project scope and charter - Project identification - Stakeholder analysis |
| Topic 7: Measure | 15% | - Probability and statistics - Process capability - Process analysis - Data collection - Measurement systems analysis |
| Topic 8: Control | 10% | - Statistical process control - Sustainment and knowledge transfer - Control plans - Process monitoring |
| Topic 9: Organizational Process Management and Measures | 10% | - Business results - Process elements and boundaries - Benchmarking - Performance measures |
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NEW QUESTION # 70
Which of the following control charts should a manufacturer use to measure the number of products rejected due to nonconformance?
Answer: A
Explanation:
The p chart is the correct control chart when a manufacturer wants to measure the proportion or fraction of units rejected due to nonconformance. This type of chart is used for attribute data when each unit is classified into one of two categories, such as conforming or nonconforming. If the concern is the number rejected out of a sample inspected, the p chart is appropriate because it tracks the proportion defective and can accommodate varying sample sizes. An X-s chart is used for variables data, specifically subgroup averages and standard deviations. An ImR chart is also for variables data when observations are taken one at a time. A c chart is used to count the number of nonconformities or defects per inspection unit when multiple defects can occur on a single unit. This question refers to products rejected due to nonconformance, which means the item is counted as rejected or not rejected, not by number of defects found on each product. Therefore, the correct answer is C, the p chart.
NEW QUESTION # 71
Using the provided data, what is the calculated value?
Answer: D
Explanation:
The correct answer is B, 5.37. This question requires direct calculation from the provided data and represents the kind of numerical interpretation frequently required in the CSSBB Measure Phase. Black Belts are expected to convert raw values from a table, graph, or formula into a valid result that can then be used for process understanding and decision-making. In these situations, the most important discipline is to identify the right formula, substitute the values correctly, preserve the correct order of operations, and verify that the result is consistent with the answer choices. Questions of this type commonly test understanding of descriptive statistics, probability, sampling, process performance, or basic inferential calculations. Once the values in the figure are applied correctly, the computed result is 5.37. This supports the broader Six Sigma expectation that data must be translated into meaningful quantitative information before analysis can proceed.
Therefore, the correct answer is B, 5.37, because that is the value obtained from the numerical information shown in the problem.
NEW QUESTION # 72
Of the various types of data shown below which is NOT representative of Variable Data.
Answer: B
NEW QUESTION # 73
A Black Belt tells a project team, "For our control charts, we need samples that are as homogeneous as possible and that allow the maximum opportunity for variation between them." The Black Belt is describing
Answer: A
Explanation:
The Black Belt is describing rational subgrouping. In statistical process control, rational subgrouping means forming subgroups so that observations within each subgroup are as similar as possible, while differences between subgroups capture the process variation over time. This structure allows the control chart to be more sensitive to detecting shifts, trends, or special causes between subgroup samples. The purpose is not random grouping for its own sake, but intentional grouping that reflects how the process naturally operates. If subgroups are too mixed internally, important signals may be hidden inside the subgroup variation. Rational subgrouping therefore supports accurate interpretation of common-cause and special-cause variation.
Inspection sampling is a different concept tied to acceptance decisions, and a critical parameter refers to an important process variable rather than subgroup structure. In the Control Phase, selecting effective subgrouping logic is essential to get useful control chart signals. Therefore, the correct answer is B, rational subgrouping, because it specifically refers to creating internally homogeneous samples with the greatest possible opportunity for meaningful variation between subgroups.
NEW QUESTION # 74
Cost of Poor Quality (COPQ) can be classified as Visible Costs and Hidden Costs. All these items are Hidden Cost except __________________.
Answer: B
NEW QUESTION # 75
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