Free ASQ CSSBB Practice Exam with Questions & Answers | Set: 9

The balanced scorecard is used in organization-wide deployment to translate strategy into measurable performance across key perspectives. In the CSSBB framework, these classic perspectives include financial, customer, internal business processes, and learning and growth. Among the listed options, Customer satisfaction corresponds to the customer perspective and is therefore the correct answer. This perspective captures how the organization is viewed by customers and typically includes measures such as satisfaction, retention, loyalty, responsiveness, complaint levels, and service quality. Critical to quality is an important Six Sigma concept, but it is not itself one of the formal balanced scorecard perspectives. Company ranking versus competitor ranking may appear in benchmarking or market analysis, yet it is not a standard balanced scorecard category. Strategic planning is related to how scorecards are developed and deployed, but it is not one of the four canonical perspectives. For Black Belts, understanding the balanced scorecard matters because projects should align with enterprise strategy and measurable business priorities. Customer-focused metrics are central to that alignment, making Customer satisfaction the correct verified choice.

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The correct answer is B. Homogeneity within subgroups: High; Chance for differences between subgroups: Maximized . The CSSBB control-chart material states that subgroups are selected in a way that makes each subgroup as homogeneous as possible and that gives the maximum opportunity for variation from one subgroup to another . This is the exact principle of rational subgrouping .

The logic is central to Shewhart charting. Within a subgroup, samples should represent conditions that are as similar as possible so that the short-term, common-cause variation is captured inside the subgroup. Across subgroups, the chart should have the best chance to reveal time-to-time or lot-to-lot changes, which is why the opportunity for differences between subgroups should be maximized. The CSSBB source further explains that when product is taken as nearly as possible at one time, this gives a minimum chance for variation within a subgroup and a maximum chance for variation from subgroup to subgroup . Therefore, the verified answer is B , which exactly matches the CSSBB definition of rational subgroup selection.

The correct answer is B. 1.20 . In ANOVA, the F statistic for a factor is calculated as the mean square for that factor divided by the mean square error . The CSSBB source presents ANOVA tables with columns for Mean Square and F , showing that the F value is formed from the factor mean square over the error mean square.

From the table:

Factor Y mean square = 9.0

Error mean square = 7.5

So:

F = 9.0 / 7.5 = 1.20

This matches option B . The degrees of freedom shown in the table help identify the correct reference distribution, but the computed F statistic itself is simply the ratio of the factor’s mean square to the error mean square. Since the model has no interaction term , only the factor mean squares and the pooled error term are used. Therefore, the verified CSSBB answer is 1.20 .

The correct answer is D. assignable . The CSSBB SPC material explains that process variation can be classified into chance cause variation and assignable cause variation . It further states that when assignable cause variation occurs, SPC facilitates identification of the source so it can be eliminated.

This is the exact idea asked in the question. A control chart is used to detect unusual, non-random variation that indicates the process has changed. Those signals point to assignable causes , also commonly called special causes, such as equipment malfunction, raw material changes, incorrect settings, or operator errors. Common causes are the normal, inherent background variation of a stable process and are not individually identifiable from isolated control-chart signals in the same way. “Rational” relates to rational subgrouping, and “systematic” is not the standard CSSBB term for this purpose. Therefore, the type of cause that contributes to excessive variation and can be detected with a control chart is assignable cause variation . That makes D the verified answer.