What three principles underlie the statistical thinking of Six Sigma quality control programs?
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What three principles underlie the statistical thinking of Six Sigma quality control programs?
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- Review the features of the program you chose and then state the ways the program could be useful in statistical analysis?Explain the value added by the application of statistical process techniques?Is sensitivity analysis a concept applied to LP only, or should it also be used when analyzing other techniques? Provide a specific non-monetary example and explain.
- Identifying Dependent, Independent and controlled Variables and draw an example of model of study that shows the variables in a study of a cause-and-effect relationship.How do you explain descriptive statistics in business research?why is it better to use regression analysis rather than variance analysis in analyzing drivers of customer satisfaction ?
- What has using computerised statistical processes contribute to the advancement of human understanding?What is the difference between variance and sensitivity analysis? Do you think one is more important than the other? Please explain your answer.Suppose you want to estimate the proportion of cars that are sport utility vehicles (SUVs) being driven in Kansas City, Missouri, at rush hour by standing on the corner of I-70 and I-470 and counting SUVs. You believe the figure is no higher than 0.40. If you want the error of the confidence interval to be no greater than .03, how many cars should you randomly sample? Use a 90% level of confidence. Appendix A Statistical Tables (Round your answer up to the nearest integer.) Sample enter a number of cars rounded to the nearest integer