Question

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 Six-sigma and Six-sigma approach is:

I. Six-sigma is generally less qualitative and more quantitative

II. Lean Six-sigma is generally more quantitative and less qualitative

III. Lean Six-sigma is more concerned with reducing waste.

IV. Six-sigma 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 X₁ (p-value = .06, main effect = 2.5, F static = 2, Cpk = .95, correllation coeffieicent =.85)

II. Factor X₂ (p-value = .03, main effect = 1.25, F static = 3, Cpk = 1, correllation coeffieicent =.75)

III. Factor X₃ (p-value = .04, main effect = -2, F static = 4, Cpk = 1.5, correllation coeffieicent =.65)

IV. Factor X₄ (p-value = .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 X₁ (p-value = .06, main effect = 2.5, F static = 2, Cpk = .95, correllation coeffieicent =.85)

II. Factor X₂ (p-value = .03, main effect = 1.25, F static = 3, Cpk = 1, correllation coeffieicent =.75)

III. Factor X₃ (p-value = .04, main effect = -2, F static = 4, Cpk = 1.5, correllation coeffieicent =.65)

IV. Factor X₄ (p-value = .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 80-90% 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 user-friendly 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. Six-sigma

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 P-value 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

Answer 1

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