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Test your basic knowledge |
Black Belt Six Sigma
Start Test
Study First
Subjects
:
certifications
,
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
beta risk
S chart
rolled throughput yield
robustness approach
2. Exponentially weighted moving average
latin square design
CuSum
EWMA
EVOP
3. Upper control limit
likert scale
beta risk
S chart
CuSum
4. Scale that uses numbers (5 strongly agree - 4 agree...) - focuses on measuring the direction of an attitude
CuSum
S chart
likert scale
beta risk
5. 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
latin square
rolled throughput yield
alpha risk
EWMA
6. The probability that a single unit can pass through a series of process steps free of defects.
CuSum
EWMA
EVOP
rolled throughput yield
7. Determines how much area under a distribution is in the critical region - type 1 risk
design alias
alpha risk
likert scale
EWMA
8. Evolutionary Operations
df= n(a) +n(b) -2
S chart
beta risk
EVOP
9. System(concept) design - then parameter design - then tolerance design
robustness approach
alpha risk
CuSum
latin square design
10. Cumulative Sum
design alias
df= n(a) +n(b) -2
CuSum
latin square design
11. A quality improvement tool. Understand effects of process on output.
CuSum
df= n(a) +n(b) -2
latin square
Taguchi
12. A specific repeated-measures design with built-in counterbalancing - cannot be used when estimations of interactions are desired
CuSum
latin square
Plackett and Burman non-geometric design
latin square design
13. They are not fractional factorial and they are main effects only
Plackett and Burman non-geometric design
df= n(a) +n(b) -2
S chart
beta risk
14. Confused experiment or confounded
EWMA
alpha risk
likert scale
design alias
15. Degrees of freedom
beta risk
df= n(a) +n(b) -2
Plackett and Burman non-geometric design
alpha risk