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  • Exam Name: Certified Six Sigma Black Belt
  • Last Update: 22-Jun-2024
  • Questions and Answers: 300
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CSSBB Questions and Answers

Question # 1

If in an experiment all possible variable pairs sum to zero the design is Orthogonal.

A.

True

B.

False

Question # 2

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

CSSBB question answer

A.

With 95% confidence, we cannot conclude if the samples are from three Normal Distributions

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 would use the one way ANOVA test

D.

If we wanted to compare the Central Tendencies of these three samples we could use Mood’s Median test

E.

If we wanted to compare the Central Tendencies of all three samples we could use the Mann-Whitney test

Question # 3

Sally and Sara sell flower pots at their garage sale. Martha motivates Rose mentioning that they will sell a minimum of 16 pots per day if the outside temperature exceeds 60o F. From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 15.2 pots per day were sold with a Standard Deviation of 0.6 pots. What is the Z value for this sales process?

A.

0.67

B.

1.13

C.

1.33

D.

2.66

Question # 4

A valid Multiple Linear Regression (MLR) is characterized by all of these except?

A.

It is an assumption that the X’s (inputs) are not correlated to each other

B.

The X’s (inputs) are assumed to be independent of each other

C.

The Residuals from MLR analysis have to be Normally Distributed

D.

MLR is conducted based on a deliberate form of experimentation

E.

It is not possible to evaluate interactions in a MLR analysis

Question # 5

When doing Hypothesis Testing on Non-normal data Belts will use a ________________ to compare more than two sample proportions to each other.

A.

Z score Table

B.

Sakami Table

C.

Mean-to-Mode Analysis

D.

Contingency Table

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