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ASQ CSSBB Exam Syllabus Topics:

Section	Objectives
Topic 1: Improve Phase	- Solution generation and selection - Design of experiments (DOE) - Lean tools and process optimization
Topic 2: Six Sigma and Organizational Goals	- Organizational goals and Six Sigma projects - Lean principles and Six Sigma integration
Topic 3: Measure Phase	- Process mapping and measurement systems - Process capability analysis - Data collection and sampling methods - Measurement system analysis (MSA)
Topic 4: Analyze Phase	- Regression and correlation analysis - Root cause analysis - Hypothesis testing - Failure modes and effects analysis (FMEA)
Topic 5: Control Phase	- Monitoring and sustaining improvements - Control plans - Statistical process control (SPC)
Topic 6: Define Phase	- Project identification and selection - Project charters and stakeholder analysis - Voice of the customer (VOC) and CTQ

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ASQ Six Sigma Black Belt Certification - CSSBB Sample Questions (Q21-Q26):

NEW QUESTION # 21
For the data shown here which statement(s) are true? (Note: There are 2 correct answers).

A. If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test.
B. With greater than 95% confidence, we conclude the samples are from Non-normal Distributions.
C. If we wanted to compare the Central Tendencies of these three samples we could use Mood's Median test.
D. With 95% confidence, we cannot conclude if the samples are from three Normal Distributions.

Answer: B,C

NEW QUESTION # 22
A factory worker collected the performance data of a product over the period of one week. A normal probability plot of the data confirmed that the collected data is not normal. The factory worker intends to transform the data to produce a second variable that is normally distributed. Which of the following transformations should be used?

A. Lean transformation
B. Algebraic transformation
C. Box-Cox transformation
D. Fisher transformation

Answer: C

Explanation:
The correct answer is B. Box-Cox transformation . The CSSBB source states that when data are non-normal, one strategy is to make the data resemble a normal distribution by using a transformation . It specifically identifies the Box-Cox power transformations as a family of transformations for positive data values and notes that the Box-Cox procedure is one of the useful techniques for finding the right transformation.
This directly matches the situation in the question. The worker has already used a normal probability plot to confirm the data are not normal and now wants a transformed variable that is closer to normality. Box-Cox is the standard CSSBB answer because it systematically selects an appropriate power transformation to improve normality. Fisher transformation is associated with correlation-related applications, and the other two options are not standard CSSBB transformation methods. Therefore, the verified answer is B. Box-Cox transformation .

NEW QUESTION # 23
A machine tool vender wants to sell an injection molding machine. The current machine produces
3.2% defectives. A sample of 1100 from the vender 's machine has 2.9% defective. Do these numbers indicate that the proposed machine has a lower rate of defectives?

A. yes
B. no

Answer: A

NEW QUESTION # 24
Which statement(s) are most correct for the Regression Analysis shown here?

A. The Regression explains 50.8% of the process variation
B. This Simple Linear Regression explains 98+% of the process variation
C. This Multiple Linear Regression has four statistically significant independent variables
D. The air-fuel ratio explains most of the TurbineOutput variation

Answer: D

NEW QUESTION # 25
Find the mean, median and mode of the following data set:
9, 11, 12, 12, 14, 18, 18, 18, 20, 23:

A. 15.5, 18, 18
B. 15, 14, 18
C. 15, 12, 18
D. 15.5, 16, 18
E. 14, 16, 18

Answer: D

NEW QUESTION # 26
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