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Total 200 Questions | Updated On: Nov 21, 2024

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Question 1

Which of these is Discrete data?

A : Train arrived at 4:17 pm.

B : Race car consumed 23 gallons of fuel.

C : Of the 42 people on the bus, 12 went into the station.

D : It took 3 hours and 32 minutes to complete the marathon.

Answer: C

Question 2

Due to excessive pollution, GREEN Solutions Inc. is considering subsidizing public transportation to

work for its employees. According to the manager it takes an average weekday commute of 39

minutes with a Standard Deviation of 7 minutes for the employees to get to work while they use

their personal vehicles for their office commute while the management set a policy of not more than

40 minutes for their daily one-way commute. A survey conducted one day on 70 employees showed

an average of 34 minutes commuting time using the metro public transportation system with a

Standard Deviation of 21 minutes. Assuming a Normal Distribution for the commute times by either

personal or public transportation, which of these is true?

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

A Stable process is a process whose output is consistent over time. A primary tool used to analyze

Stability would be a ________________.

A : Data Forward Plot

B : Bag Plot

C : Min/Max Plot

D : Time Series Plot

Answer: D

Question 4

Which element of waste best describes "the cost of an idle resource"?

A : Waiting

B : Motion

C : Inventory

D : Correction

Answer: A

Question 5

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

answers).

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

Page: 1 / 40

Total 200 Questions | Updated On: Nov 21, 2024

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