CSSBB Exam Dumps : Certified Six Sigma Black Belt

The correct answer is B. The residuals indicate a non-constant variance . ANOVA assumes that residuals are approximately normal and that the variance is reasonably constant across groups. When residual plots show non-constant variance , this signals a violation of model assumptions and often indicates that the data should be transformed before interpreting the ANOVA results. The CSSBB materials note that when data are not normal or do not satisfy assumptions for analyses such as t-tests, ANOVA, and process capability , one appropriate action is to transform the data , often using a logarithmic or other power transformation. The CSSBB source also discusses common transformations such as log, square root, exponential, and reciprocal, with Box-Cox cited as a useful technique for finding an appropriate transformation.

By contrast, completely random residual behavior is generally desirable because it suggests no obvious pattern remains. A completely linear normal probability plot also supports the adequacy of the assumptions. Outliers may require investigation, but they do not automatically imply that transformation is the right response. The clearest indicator here is non-constant variance , so B is the verified best answer.

The correct answer is B. xₘ − x . The CSSBB source defines bias as the difference between the output of the measurement system and the true value . It is often referred to as accuracy . The formal definition in the instructor text is the average measured value minus the value of the standard or true value.

Using the notation in this question, where xₘ is the measured value and x is the true value, the bias is simply:

Bias = xₘ − x

This gives both the size and the direction of the bias. If the result is positive, the gage overestimates. If it is negative, the gage underestimates. That is important in Six Sigma measurement system analysis because the team needs to know not only how far off the measurement system is, but also whether it consistently reads high or low. The ratio in option A is not the definition of bias, option C is a relative or percent-type expression, and option D removes the direction of the error. Therefore, the verified CSSBB answer is B .

Failure mode and effects analysis is the most appropriate tool because the situation involves anticipating possible failures before or during implementation and taking preventive action to reduce risk. In Six Sigma and healthcare process improvement, FMEA is used proactively to identify potential failure modes, assess their likely effects on customers or patients, estimate severity, occurrence, and detection, and prioritize actions before problems happen. The examples in this question, such as missing accounts, missing lab values, and incorrect medication order sets, are exactly the kind of implementation risks that should be evaluated through a structured pre-launch risk review. Waste analysis focuses on non-value-added activity, root cause analysis is typically used after a failure has already occurred, and Pareto analysis is used to prioritize categories of existing problems. Because management is trying to prevent harm and reduce implementation risk in advance, the correct tool is FMEA. This aligns with Black Belt expectations in Analyze and Improve work, where risk is assessed before deployment so that controls, safeguards, and contingency plans can be built into the new process.

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