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| Section | Objectives |
|---|---|
| Measure Phase | - Process capability analysis - Data collection and sampling methods - Measurement system analysis (MSA) - Process mapping and measurement systems |
| Define Phase | - Project charters and stakeholder analysis - Voice of the customer (VOC) and CTQ - Project identification and selection |
| Control Phase | - Control plans - Monitoring and sustaining improvements - Statistical process control (SPC) |
| Analyze Phase | - Root cause analysis - Hypothesis testing - Failure modes and effects analysis (FMEA) - Regression and correlation analysis |
| Six Sigma and Organizational Goals | - Organizational goals and Six Sigma projects - Lean principles and Six Sigma integration |
| Improve Phase | - Solution generation and selection - Lean tools and process optimization - Design of experiments (DOE) |
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NEW QUESTION # 60
Measurement __________ is defined as the difference between the observed and the expected values for a given set of data.
Answer: D
NEW QUESTION # 61
From this list select the best example of Bias in Sampling.
Answer: C
NEW QUESTION # 62
The following ANOVA table was developed for two factors, using a model that has no interaction term.
What is the value of the F statistic that should be used to determine whether Factor Y is statistically significant?
Answer: B
Explanation:
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 .
NEW QUESTION # 63
In experimental design, a residual is defined as the difference between
Answer: D
Explanation:
In designed experiments and regression-based analysis, a residual is the difference between the observed value of the response and the value predicted or expected by the model. This is a core statistical concept used heavily in the Analyze Phase. Residuals help the Black Belt assess whether the selected model is appropriate, whether assumptions such as constant variance and normality are reasonable, and whether unusual observations or patterns remain unexplained. The CSSBB treatment of residual analysis emphasizes plotting and studying these differences to detect model inadequacy, outliers, nonlinearity, or heteroscedasticity. The other choices do not describe residuals. The differences in degrees of freedom and sums of squares are ANOVA bookkeeping relationships, not residual definitions. Likewise, the difference between one observation and another observation is not a residual. Residuals always compare actual response values against model-based expected values. That distinction is important because DOE conclusions rely not only on estimated effects, but also on confirming that the model fits the data adequately. Therefore, the correct answer is the observed experimental value minus the expected experimental value.
NEW QUESTION # 64
At a particular time, three components are in parallel and each has a reliability of 0.98. What is the reliability of the system?
Answer: B
NEW QUESTION # 65
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2026 Latest BraindumpQuiz CSSBB PDF Dumps and CSSBB Exam Engine Free Share: https://drive.google.com/open?id=11NrZaGg2KcrGFKF0X700S1aE_cxRwK38