Test your basic knowledge |

Black Belt Six Sigma

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
EWMA
df= n(a) +n(b) -2
Plackett and Burman non-geometric design
beta risk

2. A quality improvement tool. Understand effects of process on output.
S chart
df= n(a) +n(b) -2
Taguchi
beta risk

3. The probability that a single unit can pass through a series of process steps free of defects.
rolled throughput yield
df= n(a) +n(b) -2
latin square design
Taguchi

4. Degrees of freedom
robustness approach
EVOP
rolled throughput yield
df= n(a) +n(b) -2

5. Determines how much area under a distribution is in the critical region - type 1 risk
EVOP
alpha risk
Plackett and Burman non-geometric design
latin square

6. Scale that uses numbers (5 strongly agree - 4 agree...) - focuses on measuring the direction of an attitude
CuSum
S chart
likert scale
latin square

7. They are not fractional factorial and they are main effects only
Plackett and Burman non-geometric design
CuSum
Taguchi
beta risk

8. 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 design
robustness approach
latin square
df= n(a) +n(b) -2

9. System(concept) design - then parameter design - then tolerance design
S chart
latin square
EVOP
robustness approach

10. A specific repeated-measures design with built-in counterbalancing - cannot be used when estimations of interactions are desired
Plackett and Burman non-geometric design
S chart
latin square design
alpha risk

11. Confused experiment or confounded
likert scale
design alias
rolled throughput yield
robustness approach

12. Evolutionary Operations
Plackett and Burman non-geometric design
design alias
likert scale
EVOP

13. Exponentially weighted moving average
likert scale
S chart
robustness approach
EWMA

14. Upper control limit
latin square design
EVOP
df= n(a) +n(b) -2
S chart

15. Cumulative Sum
design alias
CuSum
Taguchi
latin square