ExperimentsAtSchool allows students to collect and analyse experimental data to draw practical conclusions in subjects including science, geography and psychology. Aimed at students aged 7 to 16, the experiments help them to develop and improve their data handling and statistical skills.

Each experiment has associated activity sheets and teachers' notes which give the aim and objectives of the experiment and suggest possible investigations the children could undertake using that particular experiment.

The Project was originally launched in 2003 with the support of the Department of Education, Specialist Schools Trust and the Association for Science Education, and worked in conjunction with the Centre for Effective Learning in Science at Nottingham Trent University. It is now run from Plymouth University by the ICSE (International Centre for Statistical Education).


An Italian Feast

This resource for Key Stage Three and Key Stage Four students provides some statistics about the eating habits of children in Italy and asks students to compare and contrast these with their own eating habits. Through this activity, students have to interpret charts and graphs, plan how to collect data and design a...

Are You a Hare or a Tortoise? *suitable for home teaching*

This resource for Key Stage Two and Key Stage Three students involves extracting and interpreting information presented in tables, graphs and charts. Students investigate how activity and calorie intake are related and design their own calorie diary. Students develop skills in interpreting bar charts and pie charts...

Balanced Meal

This resource for Key Stage Three students provides detailed information about each food type and gives examples and daily portion allowances. The resource would link to studies about food, diet and health, and the life processes and nutritional needs of humans. 

Designing Experiments

In this activity students are asked to consider how they would improve five amusing experiments by evaluating aspects of the experimental design including control of variables, sample size, bias, control groups and quality of data. 


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