Statistical and quantitative thinking and acting have become fundamental skills in several branches of natural sciences, life sciences, social sciences, economics, and engineering. Therefore, already pupils should get to know elementary and application-oriented statistics (e.g., descriptive statistics, exploratory data analysis). Furthermore, students of many different disciplines should be familiar with basic and advanced statistics.

These goals gave the main impact to develop EMILeA-stat as one system suitable for teaching statistics at schools, universities, and in further vocational training which supports both supervised and self-directed learning.