Learning Goal: I’m working on a business question and need the explanation and answer to help me learn.
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 similarand how are they different?
3. Evaluate the statement, “a gage can be perfectlyaccurate when checking a standard and still be entirely unacceptable formeasuring a product or controlling a process.” Provide a example.
4. Discuss the statement, “Once statistical stability hasbeen achieved, but not before, measurement system stability can bedetermined.” If control charts are the best means for determiningstatistical stability, why must the measurement system stability be after it?Shouldn’t you know first if the measurement system is capable ofdiscrimination?
5. Compare design-based inferences to model-based inferences andrelate these to the concept of external validity. Give an example of each typeof inference as it relates to SPC.
6. Explain and discuss hypothesis testing as it relates to thenull and alternative hypothesis and the types of error associated withinferential statistics. How does power and sample size affect hypothesistesting?
7. Explain the idea of data space as applied to the study ofindependent variables. Give a real-world example of this.
8. Why are designed experiments with replication more powerfulthan other types of DOE? Give an example.
9. Discuss the various methods in use today for testing thenormality of data. Which ones are most useful?
10. Describe some applications for the use of non-parametricmethods. What are the advantages and disadvantages of non-parametricmethods?
