Provide support for your response by citing from the readings or other scholarly

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Provide support for your response by citing from the readings or other scholarly

Provide support for your response by citing from the readings or other scholarly writings.
1. Discuss measurement system discrimination and the concept of data categories. Why should a measurement system be able to divide a region of interest into at least five categories?
2. Compare stability with reproducibility. How are they similar
and how are they different?
3. Evaluate the statement, “a gage can be perfectly
accurate when checking a standard and still be entirely unacceptable for
measuring a product or controlling a process.” Provide a example.
4. Discuss the statement, “Once statistical stability has
been achieved, but not before, measurement system stability can be
determined.” If control charts are the best means for determining
statistical stability, why must the measurement system stability be after it?
Shouldn’t you know first if the measurement system is capable of
discrimination?
5. Compare design-based inferences to model-based inferences and
relate these to the concept of external validity. Give an example of each type
of inference as it relates to SPC.
6. Explain and discuss hypothesis testing as it relates to the
null and alternative hypothesis and the types of error associated with
inferential statistics. How does power and sample size affect hypothesis
testing?
7. Explain the idea of data space as applied to the study of
independent variables. Give a real-world example of this.
8. Why are designed experiments with replication more powerful
than other types of DOE? Give an example.
9. Discuss the various methods in use today for testing the
normality of data. Which ones are most useful?
10. Describe some applications for the use of non-parametric
methods. What are the advantages and disadvantages of non-parametric
methods?

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