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Six Sigma Green Belt Questions

Green Belt Test Questions

Six Sigma Green Belt certification requirements vary by organisation and training provider. Green Belts are usually required to attend at least a week of intense practical training. This schools them in the basics of the Define, Measure, Analyse, Improve and Control methodology and always has a practical rather than theoretical focus. Then the Green Belt must complete a real-world project in his or her workplace to apply Six Sigma tools and techniques. The final stage in Six Sigma certification is usually the Green Belt test. Depending on which test provider is used, this may be open-book or closed-book. Typically it will consist of short format multiple choice or calculation questions on core Six Sigma concepts.

Please note that the questions below are designed to test general knowledge of Six Sigma and are for entertainment purposes only. They do not reflect the format or content of any specific exam.

Green Belt Questions

1. What does Five Sigma quality represent (in DPMO)?

a) 66,810 defects per million opportunities

b) 233 defects per million opportunities

c) 3.4 defects per million opportunities

d) 6,210 defects per million opportunities

2. What does the total area beneath a normal curve equate to?

a) 1

b) 0.5

c) 0

d) 2

3. What is a key process input variable? Define in 25 words or less.

4. The cost of a warranty claim is an internal failure cost. True or false.

5. What does a blue diamond represent in a standard process flowchart?

6. What is kurtosis and why does it matter?

7. Discrete data (attribute data) needs a sample size of only 30. True or false?

8. What does a yellow arrow represent in a standard process map?

9. In a Failure Modes and Effects Analysis (FMEA), what is an RPN? How is it calculated and what is it used for?

10. Which of the following statements about the Student T distribution are true?

i) It has a mean of t=0

ii) As the sample size reduces, the student t distribution gets closer to the standard normal distribution

iii) The standard deviation of the t distribution is always greater than 1

a) None of them

b) i) and ii) only

c) iii) only

d) All of them

11). A 2-sample t test is designed to analyse the difference between the means obtained from two related samples. True or false?

12) What is the typical role of a Project Champion and a Six Sigma Black Belt in an organisation's Six Sigma deployment process?

13) What is the "Five Whys" process?

14) In Goldratt's theory of constraints, how should a bottleneck be treated?

15) The Kano model is:

a) A prototype of plastic printing technology

b) A Japanese flowcharting technique

c) A model of customer satisfaction and product development.

d) A theory of organisational change and human resource deployment.

1. b) Five Sigma quality equates to 233 defects per million opportunities. Clearly this is sub-optimal; the objective of Six Sigma is just 3.4 defects per million repetitions of a process.

2. a) The area under the normal curve equates to 1.

3. An independent element, which is either a constituent or parameter of a process, and has a significant impact on the process output.

4. The cost of a warranty claim is an external failure cost, since it is incurred once a product has left the factory and been shipped to a customer. It is just one element in the calculating the total cost of poor quality, which should be assessed internally as well using rolled throughput yield.

5. A blue diamond represents a decision point, or a choice.

6. Kurtosis is a measure of "peakedness" or skewness of a distribution. In simple terms high kurtosis shows that the data is not normally distributed and it is probable that one or more special causes is skewing the probability distribution.

7. False. For attribute data a sample size of between 50 and 100 is typically needed. Continuous or variable data, on the other hand, through virtue of the central limit theorem, requires only 30 data points.

8. A yellow arrow represents movement of material, flow of cash, or transmission of data.

9. Risk Priority Number. It is calculated by multiplying Severity x Occurrence x Detection and is used to help identify which problems should be tackled first.

10. d) All of the statements about the student t-distribution are correct.

11. This is false. The description given is of a paired t-test, which is used to analyse the difference between the means of two related samples. A 2-sample t-test is properly used to analyse the difference between the means of two independent samples.

12. A Project Champion is typically a senior manager or executive level sponsor. He or she is responsible for establishing and leading a Six Sigma deployment initiative and ensuring that appropriate resources are provided to drive the projects to their conclusion. A Six Sigma Black Belt is a full-time and highly trained process improvement expert who is dedicated to leading DMAIC and DFSS (Define for Six Sigma) Projects. Black Belts are responsible for both leading projects and also training and mentoring teams of Green Belts.

13. The "Five Whys" process, made famous by Toyota, is an iterative process of asking the question "Why?" in order to elicit the root cause of a problem and the key drivers that really shape a process. It is a good method of initiating a y=f(x) process analysis and can be applied to help construct an Ishikawa or fishbone diagram.

14. Goldratt teaches that the limiting constraint or bottleneck in a process should first be identified, then a decision must be taken on how to exploit it. Production should be optimised up to the level of the bottleneck (i.e. all other process stages should be subordinated to the bottleneck). Finally, the constraint should be elevated, or eliminated.

15. c) The Kano model is a customer satisfaction model that helpfully classifies those factors in a product or service that delight the customer, those that provide an essential and expected baseline and those that fall into an incremental, "more or better" category. If your customers are internal, it is instructive to compare and contrast with Herzberg's theory of job motivators and hygiene factors.

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