IASSC ICBB Exam Questions


Vendor Name: IASSC
Certification Name:Lean Six Sigma Black Belt
Exam Name:IASSC Lean Six Sigma - Black Belt

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IASSC ICBB Exam Questions


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ICBB Exam Sample Questions:



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

 

A. Precision of the measurement

 

B. Accuracy of the measurement

 

C. Calibration of the instrument

 

D. All of these answers are correct


D. All of these answers are correct






Of the various types of data shown which is NOT representative of Variable Data.

 

Child’s height is 4 foot 3 inches

 

Three employees wore hard hats

 

Car burned 2.7 gallons of gasoline

 

Train was going 140 kilometers per hour


Three employees wore hard hats






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


 

The dependent variable is the outside temperature

 

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

 

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

 

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

 

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


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


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






From the variance F-test shown above, which of these conclusions is/are valid? 


 

The variance between the class score distribution is not significantly different

 

This test applies only to Normal Distributed data at 99 % confidence

 

The variance between the class score distribution is significantly different

 

There are not enough data points to make any statistical conclusions


The variance between the class score distribution is significantly different






A ___________ problem in the Measurement System suggests that there is a lack of
consistency in the measurement over time.

 

Linearity

 

Bias

 

Stability

 

Magnitude


Stability




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