In Year 10, students begin their GCSE Statistics course. The focus is on understanding how data is collected, represented, and analysed, while also building strong probability skills. These foundations prepare students for more complex statistical modelling in Year 11.

Autumn Term

• Collecting Data – learning how to design surveys, experiments, and questionnaires.
• Scatter Graphs & Correlation – exploring how two sets of data can be compared and whether they are linked.
• Statistical Diagrams – drawing and interpreting graphs such as bar charts, pie charts, and histograms.
• Summarising Data – calculating averages and measures of spread to understand data better.

Spring Term

• Probability – working with chance and risk, from simple probabilities to more complex situations.
• Time Series – analysing data over time (such as trends in climate, population, or business sales).
• Index Numbers – using numbers to compare changes over time (e.g. prices, inflation, stock markets).

Summer Term

• Consolidation & Assessment – reviewing key skills from the year.
• Practice assessments and a Year 10 PPE (mock exam) help students check their progress and identify next steps.

By the end of Year 10, students will:

• Be able to collect and interpret data confidently.
• Use statistical diagrams and averages to summarise findings.
• Understand probability and its applications in real life.
• Begin to analyse real-world data using time series and index numbers.
• Be prepared for Year 11, which develops these skills further with more advanced statistics and exam practice.

In Year 11, students continue their GCSE Statistics course, focusing on higher-level statistical methods, exam preparation, and applying knowledge to real-world data. The emphasis is on securing strong problem-solving skills and confidence with data handling.

Autumn Term

Time Series

revisiting trends and patterns in data over time, such as climate change or business sales.

Probability

developing probability work from Year 10, including conditional probability.

Index Numbers

applying statistics to economic and social data (e.g. inflation, retail prices).

Probability Distributions

exploring how probability models real-world events.

Spring Term

Revision and PPEs

focused revision of all Year 10 and Year 11 topics.

Practice with full exam papers (PPEs) to build confidence and exam technique.

Feedback sessions to target areas needing improvement.

Summer Term

Final Revision

Consolidating knowledge across the full course.

Past paper practice and exam skills development.

By the end of Year 11, students will

Be confident in applying statistics to real-world contexts, such as science, business, and social data.

Understand and use a wide range of statistical methods, from data collection and diagrams to probability distributions and index numbers.

Be able to interpret, analyse, and question data