QUESTION 21 (Topic 1)
(Refer to the previous problem) The variance of the five replications for each run is calculated. Most of these variances are approximately equal but two are significantly lower than the others. The experimenters would be especially interested in those two runs if they want to optimize:
A. |
dissolution time |
B. |
interactions |
C. |
main effects
|
D. |
robustness |
E. |
degrees of freedom |
Answer: D
QUESTION 22 (Topic 1)
In a resolution III fractional factorial experimental design, main effects are confounded with:
A. |
one factor interactions |
B. |
two factor and higher interactions |
C. |
three factor and higher interactions |
D. |
no other effects |
Answer: B
QUESTION 23 (Topic 1)
The support for an important quality initiative was lacking in congress until Reagan’s Secretary of Commerce was killed in a horseback riding accident in 1987. That initiative was:
A. |
assigning National Institute for Standards and Technology (NIST) quality oversight duties |
B. |
“consensus of the House” proclamation for Deming’s 14 points |
C. |
changing National Bureau of Standards to NIST. |
D. |
authorizing the American National Standards Institute (ANSI) to join with the International Standards Organization (ISO) to promulgate standards. |
E. |
none of the above. |
Answer: E
QUESTION 24 (Topic 1)
This table displays the inventory of fasteners in a storage cabinet. An item is selected at random from the fastener cabinet. Find the approximate probability it is a 1/2 inch bolt.
A. |
.65 |
B. |
.30 |
C. |
.09 |
D. |
.35 |
E. |
none of the above |
Answer: C
QUESTION 25 (Topic 1)
A team wants a technique for determining and displaying priorities based
on frequency of various defect types. They should use:
A. |
written and diagrammed work instructions |
B. |
flow charts and process maps |
C. |
cause and effect diagrams |
D. |
Pareto chart |
E. |
relationship matrix |
Answer: D
QUESTION 26 (Topic 1)
Find the value of (8) in the ANOVA table. Assume:
A. |
16.4 |
B. |
3.2 |
C. |
18.6 |
D. |
23.2 |
E. |
4.54 |
F. |
12.2 |
G. |
0.525 |
H. |
2.82 |
I. |
1.48 |
J. |
35.4 |
K. |
0.10<P<1 |
L. |
0.05<P<0.10 |
M. |
0.01<P<0.05 |
N. |
0.005<P<0.01 |
O. |
0<P<0.005 |
Answer: O
QUESTION 27 (Topic 1)
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
Find the sample linear correlation coefficient and the sample coefficient of determination for the data in problem VI.11.
A. |
0.83, 0.69 |
B. |
0.49, 0.24 |
C. |
0.74, 0.55 |
D. |
0.33, 0.11 |
Answer: B
QUESTION 28 (Topic 1)
This experimental design is an example of:
A. |
full factorial |
B. |
half fractional factorial |
C. |
fractional factorial |
D. |
ANOVA design |
Answer: A
QUESTION 29 (Topic 1)
A project that lacks a clear definition of its scope and boundaries runs the risk of:
A. |
straying from the intended path |
B. |
trying to solve unrelated problems |
C. |
having difficulty in collecting baseline data |
D. |
|
E. |
all the above |
F. |
none of the above |
Answer: E
QUESTION 30 (Topic 1)
The term “expected value” is closest to the term:
A. |
median |
B. |
probabilistic model |
C. |
mean |
D. |
Markov value |
E. |
regressive value |
Answer: C
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