Certification Path
The ASQ Certified Six Sigma Black Belt certification path includes only one CSSBB certification exam.
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Certification Requirements
Attaining this ASQ designation comes with certain requirements that have to be met. Thus, one of those requirements is the need for the specialists to have either one accomplished project with a signed affidavit or two finished projects, also with signed affidavits. Also, as regards work experience, candidates are required to have been in a full-time paid role for a minimum of three years; internships and other non-full-time roles are not acceptable. In addition to the experience garnered, a prospective CSSBB professional is expected to exude such qualities as the abilities to think creatively, lead skillfully, communicate effectively, and relate efficiently. In other words, the professionals must possess a set of organizational soft skills that would help in ensuring the smooth sailing of the organization they belong to.
Reference: http://asq.org/cert/six-sigma-black-belt
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What is the duration of the CSSBB Exam
- Number of Questions: 165
- Length of Examination: 4 hour 30 minutes
- Format: Multiple choices, multiple answers
The ASQ CSSBB exam is required for obtaining the Six Sigma Black Belt certification and helps the candidates understand the DMAIC principles.
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ASQ CSSBB Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| DMAIC | 25% | - Measure: data collection, descriptive statistics, graphical analysis - Improve: DOE, response surface methodology, optimization - Control: control plans, SPC, feedback monitoring - Define: VOC, VOB, project charter, SIPOC - Analyze: hypothesis testing, ANOVA, regression, chi-square |
| Management and Leadership | 17% | - Performance metrics and balanced scorecard - Communication and presentation skills - Coaching and mentoring - Team leadership and conflict resolution - Risk assessment and management |
| Statistical Analysis | 20% | - Correlation and regression analysis - Descriptive statistics (mean, median, mode, std dev, variance) - Probability distributions (Normal, Binomial, Poisson, Exponential) - Analysis of variance (ANOVA) - Hypothesis testing (t-test, F-test, chi-square test) - Non-parametric tests - Inferential statistics and confidence intervals |
| Process Optimization | 20% | - Design of Experiments (DOE) - Process control and SPC - Root cause analysis and corrective action - Value stream mapping - Cycle time reduction - Process capability analysis (Cp, Cpk, Pp, Ppk) - Lean tools and waste elimination - Measurement system analysis (MSA/Gage R&R) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) |
| Enterprise-wide Deployment | 6% | - Organization objectives and deployment planning - Team formation and training - Systems and change management - Team performance evaluation |
| DFSS (Design for Six Sigma) | 12% | - Design for reliability and FMEA - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - QFD (Quality Function Deployment) |








