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Certified Six Sigma Black Belt Questions and Answers

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Questions # 71:

One of the primary deliverables from performing a SIPOC is to begin to understand which outputs have the greatest affect on the customer most valued inputs.

Options:

True

False

Answer

Questions # 72:

Which statement is most correct for the Regression Analysis shown here?

Question # 72

Options:

The Regression explains 50.8% of the process variation

The air-fuel ratio explains most of the TurbineOutput variation

This Simple Linear Regression explains 98+% of the process variation

This Multiple Linear Regression has four statistically significant independent variables

Answer

Questions # 73:

For a Kanban to be successful which of these must occur?

Options:

Consistent cycle times

Fairly stable process demand of product or service

Low defect rate of incoming product or service

All of the above

Answer

Questions # 74:

The distance between the Mean of a data set and the Point of Inflection on a Normal curve is called the _______________.

Options:

Curve Spread

Standard Deviation

Numerical Average

Data Breadth

Answer

Questions # 75:

An operator is measuring the distance between two points. Which is most likely to be influenced by the operator?

Options:

Precision of the measurement

Accuracy of the measurement

Calibration of the instrument

All of these answers are correct

Answer

Questions # 76:

Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

Options:

The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

General Regression Analysis deals only with Continuous Data

Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions

SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

Answer

A, D, E

Questions # 77:

What aspects of Measurement Systems Analysis (MSA) studies are applicable when the process used to measure does not damage the part?

Options:

Destructive variable gage R&R and Crossed Study

Destructive variable gage R&R and Nested Study

Nondestructive variable gage R&R and Crossed Study

Nondestructive variable gage R&R and Nested Study

Answer

Questions # 78:

Which Experimental Design typically is most associated with the fewest number of input variables or factors in the design?

Options:

Fractional Factorial design

Full Factorial design

Simple Linear Regression

Response Surface Design

Answer

Questions # 79:

As a means of measuring the effects on other areas of a process as a result of changes in the primary metric we also define and track ________________.

Options:

Parallel process metrics

Secondary metrics

Tertiary metrics

Industry standards

Answer

Questions # 80:

Which statement(s) are incorrect about Fractional Factorial Designs?

Options:

A Half Fractional Design for 5 factors has the same number of experimental runs as a Full Factorial Design for 4 factors assuming no repeats or replicates or Center Points

Quarter Fractional experiments can exist for those with 4 factors

Resolution V design is desired while controlling costs of experimentation

Half Fractional experiments do not exist for those designs with only 2 factors

Answer

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