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Pataky Six Sigma > Exam 2 > Flashcards

Exam 2 Flashcards

1
Q

T/F the key objective of data mining is to identify the vital few Xs in the many trivial Xs.

A

True

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2
Q

T/F scatter plots are used to analyze discrete and variable data.

A

False

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3
Q

T/F the primary purpose of the analyze phase is to determine and prioritize root causes.

A

True

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4
Q 
All of the following are six sigma tools used to determine and prioritize root causes except
A.  Problem statement
B.  Five whys
C.  Interrelationship diagrams
D.  Cause and effect diagrams
A

A. Problems statement

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5
Q

Which of the following is not a valid reason to perform process analysis during the analyze phase?
A. Identify bottlenecks and cycle time
B. Identify value adding activities
C. To determine proper segregation of duties among functions
D. Identify forms waste

A

C. To determine proper segregation of duties among functions

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6
Q 
A multi-vari study isolates the causes of  output variation into all of the following categories except
A.  Cyclical
B.  Temporal
C.  Assignable
D.  Positional
A

C. Assignable

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7
Q 
Which of the following is not a work package in the analyze phase?
A.  Identify Critical inputs
B.  Execute phase gate review
C.  Assess process capability
D.  Perform process analysis
A

C assess process capability

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8
Q

T/F an interrelationship diagram documents the various communication path among project team members.

A

False

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9
Q 
Which six sigma tool is used to identify specific ways in which a product, process, or service might fail and to then develop countermeasures targeted at those specific failures.
A.  Pareto analysis
B.  Critical to quality tree
C.  Gage r&r
D.  Fmea
A

D

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10
Q

T\F observational studies are normally lower cost and faster than experiments.

A

True

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11
Q

T\F affinity diagrams are a six sigma tool used during the analyze phase

A

True

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12
Q

T\F the primary objective of the analyze phase gate review is to secure funding for the improve and control process.

A

False

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13
Q

Why use factorial plots
A. Allows you to see the plots of the main effects
B. Allows you to see the interaction plots
C. Shows how to set each factor to either maximize or minimize the response
D. All of the above

A

D all of the above

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14
Q 
Performing an experiment at the same time each day is an example of
A.  Blocking
B.  Randomizing
C. Levels
D. Optimization
A

A blocking

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15
Q

T/F a trial and error approach to experimental design isolates a single factor and studies the affect across a wide range of values (levels) while holding all other factors constant

A

False

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16
Q

T/F full factorial design requires more runs than fractional factorial designs given the same number of factors

A

True

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17
Q

T/F In DOE, a run occurs when the effect of one factor on the ends on, or interacts with, the setting of another factor

A

False

18
Q

T/F in an experiment, inputs are allowed to vary randomly throughout the specification range

A

False

19
Q 
What is a valid approach to dealing with external factors beyond your control, such as a rise in ambient temperature or humidity.
A.  Blocking
B.  Screening
C.  Randomization
D.  One-factor-at-a-time design
A

C. Randomization

20
Q

Why do we replicate our experimental runs?
A. So we can look for special causes
B. To obtain a better estimate of the variation and look at interactions
C. To determine the factor levels
D. So we can look at the same thing run again

A

B. To obtain a better estimate of the variation and look at interactions

21
Q

What is the correct definition of replication
A. An output that is measured or observed
B. The change in the response variable that occurs as experimental factors change levels
C. Duplicating the entire experiment in a time sequence with a different setup
D. Gathering data by executing the experiment with a unique, predetermined set of levels for each factor.

A

C duplicating the entire experiment in a time sequence with a different setup

22
Q

T/FThe main effect of a factor x1 at the high level minus the ponds of x1 at the low level

A

True

23
Q

T\F the multiplication rule is used to set the values in the code design matrix for second order effects

A

True

24
Q 
Which experimental design has a long list of factors making control of the factors challenging
A.  Trial and error
B.  Six sigma
C.  One-factor-at-a-time
D.  Boil the ocean
A

D. Boil the ocean

25
Q 
Which of the following is not a step in training?
A.  Update personnel records
B.  Identify personnel to be trained
C.  Assess training effectiveness
D.  Provide work instructions on-line
A

D provide work instructions on line

26
Q

T/F a value stream map does not include information flow

A

False

27
Q

T/F the solution with the highest score on a risk evaluation matrix is the best solution

A

False

28
Q 
Which of the following is not a tool to prioritize solutions?
A.  Pugh analysis
B.  To be value stream map
C.  Impact/effort analysis
D.  Solution evaluation matrix
A

B TO BE value stream map

29
Q

T/F the Pugh analysis uses numeric ratings

A

False

30
Q

T/F the Pugh analysis is limited to three cycles or runs

A

False

31
Q

T/F the primary audience of the project story board is the executive sponsor, project champion, and subject matter experts

A

True

32
Q

T/F a high impact, low effort solution should be considered as a viable candidate solution

A

True

33
Q

T/F the solution evaluation matrix weights must total 100%

A

False

34
Q

The risk opportunity number (RPN) in a FMEA analysis is determined by
A. Multiplying severity by occurrence by detection
B. Multiplying severity by occurrence and dividing by detection
C. The ratio of severity to occurrence
D. Dividing severity by occurrence and multiplying by detection

A

A. Multiplying severity by occurrence by detection

35
Q

T/F FMEA is an acronym for failure measurement effects analysis

A

False

36
Q

T/F a control plan may have only one X or Y on a given row

A

True

37
Q

T\F create prioritized solutions is a work package in the improve phase

A

True

38
Q

T/F a cost evaluation may include fixed and variable costs

A

True

39
Q

_______ studies analyze the variation in the observed critical output (y) and identify which input variables (X’s) are the most likely Cause of variation.

A

Observational

40
Q

FMEA stands for

A

Factors modes and effect analysis

Pataky Six Sigma (3 decks)

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