Question 1

The essence of Lean is to concentrate effort on removing waste while improving process flow toachieve speed and agility at lower cost.

Options :

A : True

B : False

Answer: A

Question 2

Due to excessive pollution, GREEN Solutions Inc. is considering subsidizing public transportation towork for its employees. According to the manager it takes an average weekday commute of 39minutes with a Standard Deviation of 7 minutes for the employees to get to work while they usetheir personal vehicles for their office commute while the management set a policy of not more than40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showedan average of 34 minutes commuting time using the metro public transportation system with aStandard Deviation of 21 minutes. Assuming a Normal Distribution for the commute times by eitherpersonal or public transportation, which of these is true?

Options :

A : The probability that they would arrive on time using personal vehicles is much higher than using the metro public transportation system (MPTS)

B : The probability that they would arrive on time using the MPTS is much higher than using their personal vehicles

C : The two probabilities are about the same excepting in one case the consistency is higher than the other

D : We need to compile more data around weekends to incorporate for traffic differences

E : When Standard Deviation is higher the probability goes down and so the MPTS is worse

Answer: B

Question 3

The very best way to begin an effort to map a process is to do which of these?

Options :

A : Interview the process owner

B : Interview the manager of the department

C : Walk the actual process from beginning to end

D : Take pictures of the factory floor at each shif

Answer: C

Question 4

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

Options :

A : Positively

B : Not

C : Negatively

D : None

Answer: C

Question 5

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

Options :

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: A,D

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