Module 4: Advanced Statistics for Master Black Belts

Participants will significantly expand their statistical expertise and learn to analytically solve even complex problems in real-world contexts. They will gain confidence in selecting, applying, and interpreting advanced statistical methods and will be able to communicate these methods in a way that is appropriate for their target audience.

Key topics of this module:

➡ In-depth study of specific regression methods, such as binary and Poisson regression, for analyzing countable and dichotomous data.
➡ Discriminant analysis and clustering methods to identify differences between groups and reveal underlying structures.
➡ Principal component analysis and dendrograms for dimension reduction and exploratory analysis.
➡ Multivariate quality control charts for monitoring multidimensional process variables.
➡ Nonparametric tests and their use when classical assumptions are violated.
➡ Time series analysis using ARIMA models; reliably identify trend and seasonal effects.
➡ The concept of simulation techniques such as Monte Carlo and discrete models for making robust decisions in the face of uncertainty.