1) What are some indicators that there are assignable causes for variation in a process?
I.Process capability.
II. Data patters outside of the control limits.
III. Data patters within the control limits.
IV. Points randomly falling above and below the control chart center line.
a.
II and III
b.
II, III, IV
c.
I, II, IV
d.
I, II, III, IV
2) The best quantitative tool to determine the cause for variation in a process is:
a. 
ANOVA 

b. 
Correllation Analysis 

c. 
Regression Alaysis 

d. 
Factorial design of experiment 
3) If a process that is capable then it is also in statistical control.
True
False
4) The main difference between the Lean Sixsigma and Sixsigma approach is:
I. Sixsigma is generally less qualitative and more quantitative
II. Lean Sixsigma is generally more quantitative and less qualitative
III. Lean Sixsigma is more concerned with reducing waste.
IV. Sixsigma is more concerned with reducing variation.
a. 
II and IV 

b. 
I, III, and IV 

c. 
I 

d. 
II 
5) A process has four factors (or variables). The quality engineer believes each factor is critical to product accuracy according to specification. Several analysis were performed to determine the variable relationships and impacts: regression; correlation; ANOVA; and a factorial DOE. Which factor is least statistically significant for predicting product accuracy.
I. Factor X_{1} (pvalue = .06, main effect = 2.5, F static = 2, Cpk = .95, correllation coeffieicent =.85)
II. Factor X_{2} (pvalue = .03, main effect = 1.25, F static = 3, Cpk = 1, correllation coeffieicent =.75)
III. Factor X_{3} (pvalue = .04, main effect = 2, F static = 4, Cpk = 1.5, correllation coeffieicent =.65)
IV. Factor X_{4} (pvalue = .02, main effect = 4, F static = 1, Cpk = .75, correllation coeffieicent =.55)
a. 
I 

b. 
IV 

c. 
II 

d. 
III 

6) The principles in the DMAIC include:
I. Define the problem
II. Manage the problem
III. Analyze the problem
IV. Improve the process
V. Check the results
a. 
I, III, and IV 

b. 
I, II, and V 

c. 
I, IV, and V 

d. 
All of the above 

7) A process has four factors (or variables). The quality engineer believes each factor is critical to product accuracy according to specification. Several analysis were performed to determine the variable relationships and impacts: regression; correlation; ANOVA; and a factorial DOE. Rank the factors according to the greatest impact on product accuracy.
I. Factor X_{1} (pvalue = .06, main effect = 2.5, F static = 2, Cpk = .95, correllation coeffieicent =.85)
II. Factor X_{2} (pvalue = .03, main effect = 1.25, F static = 3, Cpk = 1, correllation coeffieicent =.75)
III. Factor X_{3} (pvalue = .04, main effect = 2, F static = 4, Cpk = 1.5, correllation coeffieicent =.65)
IV. Factor X_{4} (pvalue = .02, main effect = 4, F static = 1, Cpk = .75, correllation coeffieicent =.55)
a. 
III, I, II, IV 

b. 
I, II, III, IV 

c. 
III, II, I, IV 

d. 
IV, I, III, II 
8) The enrollment for the next session of ENMG 664 is estimated to be 24 3. Assume that the estimate is made with 95% confidence. What is the probability that there will be more than 27 students in the next session?
a. 
95% 

b. 
2.5% 

c. 
5% 

d. 
It can not be determined with the information provided. 
9) The ISO 9000 quality standard provides instructions to organization on how they must:
I. Perform Internal Audits
II. Write quality manuals
III. Implement continuous improvement
IV. Achieve customer satisfaction
a. 
I and IV 

b. 
All of the above 

c. 
I only 

d. 
None of the above 
10) In hypothesis testing, the null hypothesis, H _{0}, is assumed to be false in the absence of contradictory data.
True
False
11) How can the sigma level of a process be improved?
I. Decrease variation
II. Eliminate waste
III. Reduce process cost
IV. Increase the tolerance
a. 
I and II 

b. 
I and IV 

c. 
All of the above 

d. 
II and III 
12) How can the sigma level of a process be improved?
I. Decrease variation
II. Eliminate waste
III. Reduce process cost
IV. Increase the tollerance
a. 
I and II 

b. 
I and IV 

c. 
All of the above 

d. 
II and III 
13 ) Measurement scales can be generally categorized into four types. What are the types of data from least to most informative.
I. Nominal
II. Ratio
III. Ordinal
IV. Interval
a. 
I, III, IV, II 

b. 
IV, III, II, I 

c. 
I, II, III, IV 

d. 
III, I, IV, II 
14 ) A confidence interval is an interval estimate of a population parameter that also specifies the likelihood that the interval contains the true population parameter.
True
False
15) Federal c ontracting officers typically give their contractors 8090% performance ratings. A new contractor believes they have superior service and will receive performance ratings greater than 90%. What is the null hypothesis in this scenario?
a. 
The new contractor rating is not greater than 90%. 

b. 
The average contractor rating is 85%. 

c. 
The new contractor rating is greater than 90%. 

d. 
The new contractor rating is 90% with 95% confidence. 

16) The MBNQA criteria include include:
I. Visionary Leadership
II. Valuing People
III. Returning Profits to shareholders.
IV Ethical Behavior
a. 
All of the above 

b. 
I, II, and III 

c. 
II and III 

d. 
I, II, and IV 
17) Which of the following constitutes an approach to reducing sampling error?
a. 
Taking a larger sample from the population 

b. 
Using userfriendly software for data analysis and visualization 

c. 
Planning the sampling study carefully 

d. 
Providing statistical training to workers at all organizational levels 
18) The C _{pl} = .9 and the C _{pu} = 1.9. Based on this information, which of the following are true?
I. The process is in control.
II. The process is out of control.
III. The process is centered.
IV. The process is not centered.
a. 
II and IV 

b. 
III only 

c. 
IV only 

d. 
I and III 
19) The most important aspects of an effective quality management systems:
I. Are ISO 9000 certified
II. Are Integrated with other systems in the business.
III. Eliminate fear among employees
IV. Use a process approach
?
a. 
II and III 

b. 
IV only 

c. 
All of the above 

d. 
II and IV 
20) The most important aspect(s) of effective quality management systems:
I. Process Improvement
II. Driving out fear among employees
III. Integration with other systems in the business.
IV. Making a decision based on cost
?
a. 
I and III 

b. 
I only 

c. 
I, II, and III 

d. 
All of the above 
21) The most accurate test statistic when the population mean is unknown and the sample size is small (< 30) is
a. 
Z score 

b. 
T score 

c. 
P value 

d. 
F statistic 
22) Leading measures (performance drivers) predict what will happen.
True
False
23) It can be concluded that a process is in control if the points on its control chart are within its specification limits (UCL and LCL).
T
24) Similarities between ISO and Baldrige categories include a focus on:
I. Customers
II. Sixsigma
III. Leadership
IV. Systems Thinking
?
?
?
a. 
I and III 

b. 
III and IV 

c. 
IV 

d. 
I, III, and IV 
25) The average service level for the east coast call center is 95% and the west coast center is 97%. If the Pvalue for the difference between means is .06, at what significance would the service level for the call centers be statistically different?
a. 
5% 

b. 
1% 

c. 
10% 

d. 
3% 
26) The best action to reduce common cause variation in a product is:
a. 
Redesign the product. 

b. 
Do nothing. 

c. 
Use of control charts. 

d. 
Maintain production equipment. 
27) If the DPMO for a process decreases 50%, the sigma level will:
a. 
Increases 50% 

b. 
Decreases less than 50% 

c. 
Decreases 50% 

d. 
Increases less than 50% 
?
28) The best quantitative tool to forecast the value of a dependent or response variable is:
a. 
Factorial design of experiment 

b. 
ANOVA 

c. 
Correlation Analysis 

d. 
Regression Analysis 
D
29) An interaction describes a dependency between the response variable and one of the factors (or independent variables).
True
False
30) The C pl = .9 and the C pu = 1.9. Based on this information, which of the following are true?
I. The process is in control.
II. The process is out of control.
III. The process is centered.
IV. The process is not centered.
?
a. 
II and IV 

b. 
I and III 

c. 
IV only 

d. 
II Only 
1) C
When data patterns are within control limit, then it is the common cause and ay be due to slight randomness in the process
2) D
It helps to find out impact on various factor on response variable and thus establishing causes for variation
3) False
Process capability is through Cp & Cpk. But it may happen some of the values are outside range and hence process is not in control
4) B
Lean is more related to controlling waste whereas six sigma is focused on reducing variation. Also, six sigma is more quantitative in nature and lean is more qualitative
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