Curriculum overview for GCSE Statistics

Curriculum intent – the knowledge, understanding and skills that students will learn
The general knowledge, skills and understanding that students will learn during the full course will be building on key stage 2 and 3 topics from mathematics. This qualification will enable students to develop statistical fluency and understanding through the use of statistical techniques in a variety of authentic investigations, using real-world data in contexts such as, but not limited to, populations, climate, sales etc. Students will explore new topics such as the statistical enquiry cycle, binomial distribution and normal distribution. Students will also learn the application of statistical techniques across the curriculum, in subjects such as the sciences, social sciences, computing, geography, business and economics, and outside the classroom in the world in general

Curriculum implementation – teaching, learning and assessment strategies
The formative and summative assessments that will take place during the GCSE Statistics course will be a mixed of current topic assessments during a half term with an end of term assessment which will be a cumulative assessment on any topic taught so far in the course. This allows teachers to adjust their planning on current topics but to also inter-link previously taught topics. Topics at GCSE Statistics are sequences as ‘building blocks’ from previous topics in both GCSE Mathematics and GCSE Statistics. An example of this is that students learn how to collect data before they learn how to intercept the data and then incorporate this new knowledge in a statistical enquiry cycle.

Curriculum impact – intended outcomes for students 
The intended outs of this qualification are to enable students to develop fluent knowledge, skills and understanding of Statistical methods and concepts.
Acquire, select and apply Statistical techniques to enable them to interpret data across multi- curriculum subjects. Students will be understanding how the collection, visualisation and analysis of large quantities of data can be used to inform decision-making processes in public, commercial and academic sectors to represent data. Finally, students will have learnt how to applying appropriate mathematical and statistical formulae, and building on prior knowledge.

Course overview for GCSE Statistics
Exam board: EDXECEL https://qualifications.pearson.com/en/qualifications/edexcel-gcses/statistics-2017.html
No course work 

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