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ASQ CSSBB Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Improve	10%	- Implementation planning - Solution generation - Risk analysis - Design of experiments
Topic 2: Team Management	10%	- Tools and techniques - Team dynamics - Team facilitation - Team formation
Topic 3: Control	10%	- Sustainment and knowledge transfer - Control plans - Statistical process control - Process monitoring
Topic 4: Measure	15%	- Process capability - Process analysis - Data collection - Measurement systems analysis - Probability and statistics
Topic 5: Design for Six Sigma (DFSS) Frameworks and Methodologies	5%	- DFSS methodologies - Robust design - Concept generation
Topic 6: Analyze	15%	- Multivariate tools - Hypothesis testing - Correlation and regression - Data analysis
Topic 7: Organization-Wide Planning and Deployment	15%	- Organizational goals and objectives - Resource allocation - Six Sigma deployment models - Leadership and roles
Topic 8: Define	10%	- Project identification - Voice of the customer - Project scope and charter - Stakeholder analysis
Topic 9: Organizational Process Management and Measures	10%	- Process elements and boundaries - Performance measures - Benchmarking - Business results

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ASQ Six Sigma Black Belt Certification - CSSBB Sample Questions (Q164-Q169):

NEW QUESTION # 164
Calculate the Rolled Throughput Yield of this process using this data.
Data: unit input: 1215, unit output: 1180, defects repaired: 184, scrap: 42

A. 81.40%
B. 80.85%
C. 82.23%
D. 84.96%

Answer: A

NEW QUESTION # 165
Which of the following analyses is used to classify observations into two or more groups when there are multiple known groups?

A. Factor analysis
B. Multiple analysis of variance
C. Principal component analysis
D. Discriminant analysis

Answer: D

Explanation:
Discriminant analysis is the statistical method used to classify observations into two or more known groups.
In Six Sigma Analyze Phase applications, this technique is useful when the groups already exist and the objective is to determine how observations can be assigned to the correct category based on measured variables. It also helps identify which variables best separate the groups. Factor analysis and principal component analysis are both data-reduction methods; they uncover latent structure or reduce dimensionality, but they are not classification tools for known groups. Multiple analysis of variance compares means across groups but does not classify individual observations into categories. Discriminant analysis is therefore the best fit because it directly addresses separation and assignment among predefined groups. For Black Belts, this kind of method can be valuable in pattern recognition, segmentation, diagnostic classification, and prediction where group membership matters. Therefore, the correct answer is A, Discriminant analysis, because it is specifically designed for classification into multiple known groups.

NEW QUESTION # 166
The primary objective in removal of waste is to improve the Order Production Cycle where the time from
_________________ to the time of receipt of payment is compressed.

A. Shift start
B. New fiscal year
C. Product development
D. Receipt of an order

Answer: D

NEW QUESTION # 167
During the ______________ phase of 5S is when we might implement a Red Tag program.

A. Standardizing
B. Shining
C. Sorting
D. Straightening

Answer: C

NEW QUESTION # 168
What is the value of the test statistic?

A. none of the above
B. 1.251
C. 0.898
D. 3.57
E. 0.429

Answer: D

NEW QUESTION # 169
......

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