What is a common failure of the define phase

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Reference no: EM133216476

Assignment:

Lean Six Sigma

1) What should you NOT do when formulating a problem statement for the project charter?

A. Ask "what's wrong"?

B. Describe the cause of the problem

C. Analyze the impact of the problem on the business

D. Ask where the problem is appearing

2) How many standard deviations fit beneath the normal curve?

A. 1

B. 6

C. 3

D. 4

3) In Lean thinking, which type of activity should be eliminated where possible?

A. NVA

B. VA

C. B-NVA

D. None of the above

4) ________ are the most important part of the improvement process

A. Process owners

B. Customers

C. Green Belts

D. Sponsors

5) Which is not a consensus-seeking behavior?

A. Viewing disagreements as helpful

B. Averaging

C. Accepting responsibility for contributing and listening

D. Actively participating in the process

6) When selecting a project, look for projects that: (circle all that apply)

A. Attract and retain customers

B. Increase employee and stakeholder satisfaction

C. Reduce cost of poor quality

D. Maximize return on investment

7) What is a common failure of the Define phase?

A. The problem is actually a solution

B. The project is too broad and imprecise

C. Lack of measurable customer requirements

D. All of the above

8) Which of the following is NOT a component of a project charter?

A. Causes

B. Defect definition

C. Baseline z score

D. COPQ

9) What is the approximate overall probability of a patient experiencing a medication error if she receives 3 independent medication administrations during her stay and the probability of receiving the correct medication each time is 85%?

A. 61%

B. 39%

C. 42%

D. 85%

10) An effective method for transforming data from non-normal to normal is:

A. Using averages of subgroups

B. Removing outliers from the data set

C. Inserting "dummy" data points

D. All of the above

11) Linear regression is utilized when the x variable is dispersed throughout a continuous range and assists in identifying how much predictive value can be assigned to the x variable.

A. True

B. False

12) After running a test for equal variances on two samples, you notice that the p = 0.061. This means:

A. The variances are approximately equal

B. The variances are different

C. You cannot use this data for a t-test

D. The data are not normal

Reference no: EM133216476

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