CSSBB Exam Dumps : Certified Six Sigma Black Belt

The sponsor is responsible for reviewing and approving changes to a Six Sigma project charter because the sponsor owns the business commitment behind the project. In the Define Phase, the charter serves as the formal agreement on the project’s purpose, business case, scope, goals, and expected impact. Any significant change to those elements can affect resources, timing, priorities, and alignment with organizational objectives. Since the sponsor authorizes the project and provides the organizational backing needed for its success, that role must also approve any major charter revision. Team members and the team leader may recommend changes based on what they learn during project execution, and a facilitator may help structure the discussion, but they do not normally hold authority to approve charter modifications. In Black Belt practice, this governance is important because uncontrolled charter changes can lead to scope creep, confusion, and weakened accountability. Therefore, the correct answer is C, Sponsor, because that role has the responsibility and authority to confirm that any change remains aligned with the project’s intended business purpose.

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The correct answer is A. DPMO = DPO × 1,000,000 . In CSSBB, attribute data are discrete counted data such as defects, defectives, pass/fail outcomes, or error counts. For this type of data, process performance is commonly expressed using defects per unit (DPU) , defects per opportunity (DPO) , and defects per million opportunities (DPMO) rather than variable-data capability indices like Cp or Pp . The CSSBB materials distinguish capability indices such as Cp and Pp as formulas for continuous variable data with specification limits, while attribute performance uses defect-based metrics.

Among the listed equations, only DPMO = DPO × 1,000,000 applies to attribute data capability/performance measurement. Option B and option C are variable-data capability formulas based on the spread of a measured continuous characteristic relative to specification limits. Option D is the correlation coefficient formula and is unrelated to capability. Therefore, when the question asks for the equation used to calculate process capability for attribute data , the best CSSBB-aligned answer is A .

The correct answer is C. Multiple linear regression . In the CSSBB Analyze phase, the topic “Measuring and Modeling Relationships” includes regression , correlation coefficient , and multivariate tools . The CSSBB source explicitly states that both simple linear regression and multiple linear regression are discussed in this section. Multiple linear regression is the appropriate tool when a practitioner wants to model or evaluate the relationship between a response and more than one input variable .

The wording “among three input variables” indicates a need to examine how multiple predictors relate within a statistical model. That is exactly the purpose of multiple linear regression in Six Sigma analysis. In contrast, quality function deployment is used for translating customer requirements into design or process characteristics, control charts are for monitoring process stability over time, and a goodness-of-fit test assesses whether data follow a specified distribution. None of those tools is intended for modeling the combined effect of several input variables. Therefore, for a Black Belt evaluating relationships involving three inputs, the proper analytical choice is multiple linear regression , which supports prediction, significance testing, and understanding variable relationships during root-cause analysis.