This practice-oriented presentation introduces students to the meaningful use of digital tools in statistics for upper secondary mathematics.
Designed for bilingual (CLIL) classrooms, it emphasizes data literacy, interpretation, critical thinking, and responsible tool use.

Students learn how digital tools support statistical reasoning without replacing conceptual understanding.

Didactic Focus

Students will learn to:

• analyze and visualize data using digital tools

• choose appropriate chart types

• perform and interpret regressions

• create and evaluate forecasts

• run simulations to explore randomness

• identify common errors and misinterpretations

• reflect critically on results and data sources

Contents

• why digital tools matter in statistics

• overview of common statistical tools

• data workflows and visualization

• regression and trend analysis

• forecasting and uncertainty

• simulations and probability experiments

• correlation vs. causation

• data ethics and responsibility

• project-based classroom ideas

Classroom Use

• Bilingualer Mathe-Unterricht (CLIL)

• upper secondary statistics

• data analysis and modeling

• cross-curricular teaching

Best for

• CLIL and bilingual math courses

• upper secondary students

• statistics and data literacy units

Keywords

Bilingualer Mathe-Unterricht, digital tools in statistics, CLIL statistics, data literacy, upper secondary mathematics