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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enterprise-wide Deployment | 6% | - Team performance evaluation - Organization objectives and deployment planning - Systems and change management - Team formation and training |
| Topic 2: Statistical Analysis | 20% | - Hypothesis testing (t-test, F-test, chi-square test) - Non-parametric tests - Probability distributions (Normal, Binomial, Poisson, Exponential) - Descriptive statistics (mean, median, mode, std dev, variance) - Inferential statistics and confidence intervals - Analysis of variance (ANOVA) - Correlation and regression analysis |
| Topic 3: DMAIC | 25% | - Improve: DOE, response surface methodology, optimization - Define: VOC, VOB, project charter, SIPOC - Measure: data collection, descriptive statistics, graphical analysis - Analyze: hypothesis testing, ANOVA, regression, chi-square - Control: control plans, SPC, feedback monitoring |
| Topic 4: Process Optimization | 20% | - Process control and SPC - Value stream mapping - Measurement system analysis (MSA/Gage R&R) - Cycle time reduction - Process capability analysis (Cp, Cpk, Pp, Ppk) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Root cause analysis and corrective action - Lean tools and waste elimination - Design of Experiments (DOE) |
| Topic 5: DFSS (Design for Six Sigma) | 12% | - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - QFD (Quality Function Deployment) - Design for reliability and FMEA |
| Topic 6: Management and Leadership | 17% | - Coaching and mentoring - Risk assessment and management - Communication and presentation skills - Team leadership and conflict resolution - Performance metrics and balanced scorecard |
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NEW QUESTION # 137
Which of the following techniques will create sample bias?
Answer: B
Explanation:
Collecting samples from the same location in each container, rack, or bin creates sample bias because it systematically favors one portion of the population and may fail to represent the whole. In the Measure Phase, valid data collection depends on obtaining samples that reflect the actual variation present in the population. If the same location is used repeatedly, hidden patterns such as settling, temperature gradients, stacking effects, handling differences, or location-specific defects may distort the sample. Stratified sampling across machines, shifts, or operators is usually done specifically to improve representativeness when meaningful subgroups exist. Collecting from various locations in a homogeneous population is also a sound approach because it reduces location bias. Acceptance sampling in continuous flow may be appropriate depending on the plan design and context, but the clearly biased method among the listed choices is repeatedly sampling from the same location. In Six Sigma, sampling bias is dangerous because it produces misleading conclusions and weakens all downstream analysis. Therefore, the correct answer is C, because fixed-location sampling can systematically misrepresent the true population.
NEW QUESTION # 138
In measurement system analysis, both the 10:1 rule and the 4:1 rule are based on the
Answer: A
Explanation:
The correct answer is A. specification tolerance . In CSSBB measurement system analysis, one of the standard ways to evaluate a gage is to compare measurement-system variation against the tolerance , using the precision-to-tolerance capability ratio :
CR = 6# / (USL # LSL)
This shows that the rule-of-thumb criteria used for judging adequacy are based on the relationship between measurement variation and the specification tolerance band . The well-known 10:1-type thinking in gage selection likewise comes from comparing measurement discrimination or variation to tolerance, not to control limits, replacement cost, or calibration interval. Process control limits are statistical limits derived from process behavior, whereas MSA adequacy rules concern whether the measurement system is fine enough relative to engineering requirements.
So even if the exact rule wording varies by context, both rules are grounded in the same idea: the gage must be sufficiently capable relative to the specification tolerance . Therefore, the verified best answer is A .
NEW QUESTION # 139
Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).
Answer: B,C,E
NEW QUESTION # 140
In ANOVA, the term "treatment" is also known as
Answer: B
Explanation:
The correct answer is B. factor . In the CSSBB ANOVA material, the assumptions are stated in terms of factor treatments or levels , showing that treatment refers to the different conditions or levels associated with an independent variable in the experiment. The DOE terminology section further explains that qualitative descriptors such as different machines, operators, or materials can represent qualitative levels or treatments
, which ties treatments directly to the experimental factor being studied.
A response is the dependent output being measured, not the treatment. Replication means repeated trials under the same conditions, and residual refers to unexplained error or the difference between observed and predicted values. In ANOVA, the total variation is partitioned into variation among treatment means and random error, so the "treatments" are the groups defined by the factor levels being compared. Therefore, the best CSSBB-based answer is B. factor .
NEW QUESTION # 141
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
Find the sample linear correlation coefficient and the sample coefficient of determination for the data in problem VI.11.
Answer: B
NEW QUESTION # 142
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