12 Seiten
3 Materialien
60 Seiten






This comprehensive worksheet-based resource supports upper secondary students in using digital tools for statistical analysis in a meaningful and reflective way.
Designed for bilingual (CLIL) mathematics classrooms, the material focuses on data literacy, interpretation, and critical evaluation, rather than on software skills alone.
Students learn how digital tools help explore data while understanding their limitations.
Students will learn to:
analyse real data sets using digital tools
create and interpret appropriate charts
calculate and interpret statistical measures
analyse correlation and regression results
evaluate predictions critically
identify misleading visualisations and results
reflect on the limits of digital analysis
digital tools in statistics
data preparation and visualisation
descriptive statistics
scatter plots and correlation
linear regression and prediction
simulations and randomness
correlation vs. causation
critical data interpretation
Bilingualer Mathe-Unterricht (CLIL)
upper secondary statistics
data analysis and modelling
interdisciplinary teaching
CLIL and bilingual math classes
upper secondary students
statistics and data literacy units
Bilingualer Mathe-Unterricht, digital tools in statistics, CLIL mathematics, data literacy, upper secondary statistics
Short Note All materials included in this bundle are also available individually. This bundle combines them into a coherent, curriculum-ready instructional unit for upper secondary mathematics. Overview This complete teaching bundle supports students in developing data literacy and critical statistical reasoning using digital tools. Designed for bilingual (CLIL) classrooms, it integrates teaching concept, worksheets, and presentation materials into a unified learning pathway. The focus is on meaningful tool use, not on technical skills alone. Included Materials comprehensive teaching concept structured student worksheets visual presentation slides real-world data sets discussion and reflection tasks differentiation for mixed-ability classes assessment-ready activities Key Topics digital tools in statistics data preparation and visualisation descriptive statistics correlation and regression forecasting and uncertainty simulations and randomness correlation vs. causation responsible data use Best for Bilingualer Mathe-Unterricht (CLIL) upper secondary mathematics statistics and data analysis units Keywords Bilingualer Mathe-Unterricht, digital tools in statistics bundle, CLIL statistics, data literacy, upper secondary mathematics
Klassenstufen: Q1 (11./12. Jhg.), Q2 (12./13. Jhg.)
Bewertungen und Kommentare