MG 610 - The Application of Statistics

• Understand what kinds of statistical tools are available, and where and how they can be applied in a business and industrial environment
• Know what statistical tools require further independent study to satisfy the requirements of other courses as well as personal and career needs

• Experience in using or course(s) in basic statistical methods is strongly recommended. Experience using Excel and software for statistical analysis would be helpful

• Introduction and graphical descriptive statistics management, work environment, culture and its impact on the application of statistics Statistical thinking - problems must be addressed in the context of a larger system and not as an exercise in mathematics
• Basic concepts descriptive statistics - graphical methods (1 class)
• Descriptive statistics - numerical methods central value, spread, and correlation (1 class)
• Interval estimates and sampling confidence intervals, approaches to sampling, and probability (1 class)
• Hypothesis testing, and making comparisons and inferences comparing a condition to a standard, comparing two conditions, risks and sample sizes (1 class)
• Statistical quality control variables control charts, attributes control charts, capability studies and indexes (1 class)
• Systematic collection and analysis of information for making decisions making multiple comparisons using the analysis of variance - ANOVA, Design of experiments - DOE (2 classes)
• The analysis of enumerated or counted data evaluating goodness of fit, and checking for independence (1 class)
• Studying and defining relationships between variables regression analysis and correlation analysis (1 class)
• Nonparametric methods and review sign tests, ranking tests, rank correlation, and review (1 class) • Final Exam