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How to Deal With Nonnormal Data in Process Improvement Projects

Presenter: John Noguera, Co-Founder and CTO of SigmaXL This webinar will cover the real world issues around dealing with nonnormal data in process improvement projects. Topics will include: Agenda: • When do I need to worry about Nonnormal data (i.e., is the Central Limit Theorem working for me)? • Guidelines on sample size for central limit theorem to work (for mild, moderate and severe skewness) • Do I have Outliers or Inherently Nonnormal data? • Do I need to stratify to deal with a bimodal distribution? • How do I deal with Nonnormality due to measurement discrimination ("chunky" data) • SigmaXL tools to detect Nonnormality o Graphical Tools: Histogram, Boxplot, Normal Probability Plot, Control Chart o Anderson Darling Normality Test • SigmaXL tools to deal with Nonnormality o Nonparametric Tests o Transformations and Distribution Fitting