EMGT 549 - Black Belt Probability and Statistics
- Credit Hours: 4R-0L-4C
- Term Available: See Dept
- Graduate Studies Eligible: Yes
- Prerequisites: EMGT 447 or consent of instructor
- Corequisites: None
This course introduces applied probability and statistics topics that must be mastered to pass a professional society’s Six Sigma Black Belt exam. Topics include probability basics and rules, conditional probability, and Bayes’ theorem; popular continuous probability distributions used in reliability; popular discrete probability distributions used in quality and reliability; reliability topics and applications; advanced statistical hypothesis testing, including variances and proportions; acceptance sampling; biased versus non-biased estimators, and DOEs beyond factorial designs. When possible, the course will examine censored and uncensored data and the practice of fitting appropriate models to data, assessing the fit and adequacy of a model with parameter estimates to reliability data, and the use of statistical software to aid in the investigation of parameter estimation and model adequacy for reliability data.