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  • Exam Name: IASSC Lean Six Sigma - Black Belt
  • Last Update: 19-Apr-2024
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ICBB Questions and Answers

Question # 1

The two types of data that are to be used in Statistical Analysis are Attribute and Variance.

A.

True

B.

False

Question # 2

In a good Measurement System the most variation will be with part-to-part measurements. What should you do if the majority of variation is associated with the Gage R&R assuming the gage is technically capable?

A.

Focus on fixing the Repeatability and Reproducibility of the measurement device

B.

Purchase a new machine

C.

Focus on trimming the Part-to-Part variation

D.

Run another MSA test with the machine

Question # 3

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

ICBB question answer

A.

The dependent variable is the outside temperature

B.

The relationship between outside temperature and number of customers per hour is a Linear Regression

C.

The dashed lines indicate with 95% confidence where all of the process data should fall between

D.

The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

E.

The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

Question # 4

What is the Ppk of a process with a spread of 24 units, an average of 68, an upper limit of 82 and a lower limit of 54?

A.

1.68

B.

2.00

C.

4.00

D.

4.42

Question # 5

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

ICBB question answer

A.

The air-fuel ratio explains most of the TurbineOutput variation

B.

The Regression explains over 98% of the process variation

C.

This Multiple Linear Regression has three statistically significant independent variables

D.

If the air-fuel ratio increases by 1, the TurbineOutput more than triples

E.

The SteamExitTemp explains the most variation of the TurbineOutput

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