NEW QUESTION 1
When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are __________ correlated?

• A. Positively
• B. Not
• C. Negatively
• D. None

Answer: C

NEW QUESTION 2
A Stable process is a process whose output is consistent over time. A primary tool used to analyze Stability would be a __________.

• A. Data Forward Plot
• B. Bag Plot
• C. Min/Max Plot
• D. Time Series Plot

Answer: D

NEW QUESTION 3
The difference between the largest observation and the smallest observation in the data set is known as the __________.

• A. Breadth
• B. Range
• C. Spread
• D. Median

Answer: B

NEW QUESTION 4
According to a manager it takes an average weekday commute of 39 minutes with a Standard Deviation of 7 minutes for the employees to get to work when they use their personal vehicles for their office commute while management set a policy of not more than 40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showed an average of 34 minutes commuting time using the metro public transportation system with a Standard Deviation of 21 minutes. For the employees choosing to increase their chances to come on time using personal transportation their variation should be reduced to __________?

• A. 1 minute
• B. 6 minutes
• C. 3.5 minutes
• D. Eliminate it to 0.0 minutes

Answer: C

NEW QUESTION 5
When looking at a distribution graph, the Mean is defined as the __________.

• A. Average based on the sample size
• B. Aggression measured
• C. Total sample size
• D. Measurement based off a quarter of the sample size

Answer: A

NEW QUESTION 6
Voice of the Customer is a Lean Six Sigma technique to determine __________ attributes of a product or service.

• A. At least 6
• B. The profitable
• C. Critical-to-Quality
• D. The majority of the

Answer: C

NEW QUESTION 7
Lean focuses on the sequence of activities and work required to produce a product or a service. This flow is called a __________.

• A. Value-add Flow
• B. Production Map
• C. Value Stream
• D. Operating Procedure

Answer: C

NEW QUESTION 8
Customers make a purchase decision based on a number of factors. In Lean Six Sigma we refer to these decision points as CTQ’s or as __________.

• A. Critical-to-quality
• B. Conscious thought qualities
• C. Conspicuous time quandaries
• D. Cost of the quantity

Answer: A

NEW QUESTION 9
The use of station warning lights, tool boards and jidohka devices in the application of Lean accomplish which of these principles?

• A. Pilferage Minimization
• B. Visual Factory
• C. Management Awareness
• D. Operator Attentiveness

Answer: B

NEW QUESTION 10
A primary benefit of using a Multi-Vari Chart is it provides a visual presentation of two-way interactions.

• A. True
• B. False

Answer: A

NEW QUESTION 11
Process Capability is a function of which of these?

• A. Customer requirements
• B. Process performance
• C. Output over time
• D. All of these answers are correct

Answer: D

NEW QUESTION 12
The purpose of a Process Map is to identify the complexity of the process and to record all actions and decision points in the process.

• A. True
• B. False

Answer: A

NEW QUESTION 13
Typically a person who is trained to the skill level of a Black Belt is nearly 80% dedicated to applying Lean Six Sigma methodologies towards process solutions.

• A. True
• B. False

Answer: B

NEW QUESTION 14
The perfect sample size is the minimum number of data points required to provide exactly 6% overlap or risk if one wants a 95% confidence level.

• A. True
• B. False

Answer: B

NEW QUESTION 15
A Six Sigma tool that helps to screen factors by using graphical techniques to logically subgroup multiple discrete X's plotted against a continuous Y is known as a __________ Chart.

• A. SIPOC
• B. Multi-Vari
• C. Box Plot
• D. Whisker

Answer: B

NEW QUESTION 16
Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).

• A. This Regression is an example of a Multiple Linear Regression.
• B. This Regression is an example of Cubic Regression.
• C. %Cu explains the majority of the process variance in heat flux.
• D. Thickness explains over 80% of the process variance in heat flux.
• E. The number of Residuals in this Regression Analysis is 26.

Answer: AD

NEW QUESTION 17
Inferential Statistics is largely about Significance. There are both Practical and __________ Significance to consider during an analysis of data in a Lean Six Sigma project.

• A. Problematic
• B. Impractical
• C. Usable
• D. Statistical

Answer: D

NEW QUESTION 18
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