Black Belt Six Sigma

Instructions:

• Answer 15 questions in 15 minutes.
• If you are not ready to take this test, you can study here.
• Match each statement with the correct term.
• Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.

1. The risk of accepting the null hypothesis when - in fact - the alternate hypothesis is true. In other words - stating no difference exists when there is an actual difference. A statistical test should be capable of detecting differences that are impo
df= n(a) +n(b) -2
beta risk
Plackett and Burman non-geometric design
latin square


2. They are not fractional factorial and they are main effects only
Taguchi
Plackett and Burman non-geometric design
df= n(a) +n(b) -2
rolled throughput yield


3. Evolutionary Operations
latin square design
EVOP
alpha risk
latin square


4. Confused experiment or confounded
alpha risk
Plackett and Burman non-geometric design
df= n(a) +n(b) -2
design alias


5. Scale that uses numbers (5 strongly agree - 4 agree...) - focuses on measuring the direction of an attitude
design alias
Taguchi
likert scale
beta risk


6. A specific repeated-measures design with built-in counterbalancing - cannot be used when estimations of interactions are desired
design alias
latin square design
likert scale
df= n(a) +n(b) -2


7. Determines how much area under a distribution is in the critical region - type 1 risk
EVOP
rolled throughput yield
S chart
alpha risk


8. The probability that a single unit can pass through a series of process steps free of defects.
design alias
latin square design
rolled throughput yield
robustness approach


9. Exponentially weighted moving average
robustness approach
S chart
EWMA
latin square


10. Upper control limit
latin square design
S chart
likert scale
rolled throughput yield


11. System(concept) design - then parameter design - then tolerance design
Taguchi
robustness approach
S chart
beta risk


12. Degrees of freedom
design alias
EVOP
df= n(a) +n(b) -2
latin square design


13. A square matrix of n rows and columns - a technique to control for order effects without having all possible orders; a limited set of orders constructed to ensure that each condition appears at each ordinal position and each condition precedes and fo
likert scale
S chart
latin square
EVOP


14. Cumulative Sum
CuSum
beta risk
S chart
EVOP


15. A quality improvement tool. Understand effects of process on output.
latin square
CuSum
Taguchi
EWMA