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e C

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mmon

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se va

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ion.

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. Define assi

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nable cause variation.

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. In t

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d

a

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to day operations of the process why is it important that we understand if the variation we see in a product/process comes from common or assignable cause situations?

4

. Define a population.

5

. Define a sample:

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. Define a random sample:

7. Define a stratified sample and give one example.

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.

F

or the following set of sample data calculate each of the values below:
Sample data set:

11

, 1

0

, 8, 13,

14

, 12, 11, 11, 13, 11, 11

Mean:

Median:

Mode:

Range:

9

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W

hat are the two key principles you try to follow when conducting a brainstorming session? (4 points)

10. Create a Pareto Diagram from the following data.

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11. What advantage does a Cause & Effect Diagram offer over traditional brainstorming sessions?

12. Determine the area under the normal curve for each of the following conditions. Diagram re

q

uired.

· Area under the curve > Z = 1.34

· Area under the curve between Z = -2.15 and Z = -0.45

· Area under the curve < Z = 1.89

· Area under the curve < Z = -1.65 and > Z = 2.10 (Note: both areas)

13) The output for a normally distributed process results in an average size of 43 Rc with a standard deviation of 2.1 Rc”. If the customer specifications are 40 Rc to 52 Rc, are there defective products being made? Mathematical analysis required for credit.

14. What is a requirement of the data collections process to be able to use a “run” chart? (4 points)

15. If the customer specifications are in pounds and are 13.00 ± 0.15, given the following histogram, are defective parts being made? Justify your answer to receive credit. (4 points)

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