This Applied Statistics outlines key concepts for advancing in experimental design and hypothesis testing. It emphasizes understanding foundational principles over memorizing formulas, enabling researchers to design valid experiments, choose suitable statistical tests, and interpret results accurately. 

Experimental design and hypothesis testing rely on logical decision-making under uncertainty, grounded in descriptive statistics, probability theory, and statistical inference—core areas systematically covered in this report.

Six Sigma is a data-driven methodology aimed at reducing process variation and improving quality across all facets of manufacturing and business operations. 

This training module provides a comprehensive pathway for professionals to become certified Six Sigma Green Belts and Black Belts, equipping them with the analytical skills and leadership capabilities needed to drive continuous improvement 

Rooted in the philosophy of Kaizen “change for the better” this system fosters a proactive culture where small, daily improvements lead to significant long-term gains in quality, efficiency, and morale. 

By integrating structured suggestion mechanisms and recognition practices, organizations can unlock hidden potential, reduce waste, and build a resilient, innovative-driven operation from the ground up.