Exam Board – EDEXCEL (Specification code 1ST0): Specification 

The course will extend beyond the statistics content of GCSE mathematics to enable students to specialise in statistical analysis in a variety of contexts. 

What do Statistics students learn?

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Students will cover topics in the following areas:

  • Planning a strategy
  • Data collection
  • Tabulation and representation
  • Data analysis
  • Probability 
  • Data interpretation
  • An understanding of statistics in everyday life
  • The ability to carry out enquiries confidently and skilfully
  • The ability to apply knowledge successfully in different contexts
  • Data presentation and evidence-gathering skills.

How we will deliver the curriculum and assess progress:

Staff will set a sequence of lessons for each unit of work, which will include PowerPoints, fully worked examples, practice/development tasks, and extension/support activities to embed learning. We aim to deliver 1 zoom lesson per week to explain ‘face-to-face’, give students chance to ask questions, and staff chance to explain key areas. These Zooms lesson to be used in conjunction with other work set – e.g. a task set prior to Zoom which will then be discussed (flip learning), or a follow up task after the zoom introduction. Zoom lessons are also key times to build relationships with students. Statistics teachers will set at least 1 MathsWatch task, some of which will be used as the unit assessment.

Extending learning in term and over holidays:

Students have access to the following websites, for independent learning:

Videos and interactive questions on every topic at KS4; both foundation and higher. Student login: …….@trentham (school login) Student password: trentham

Videos, worksheets, practise exam questions, revision flash card all linked to QR codes on all topics at GCSE.

Packs of exam questions organised by topic for all of the GCSE course – select the Data & Probability questions.

Topic Busters – Data & Probability

Students enjoy:

  • Getting involved and learning through engaging work
  • Using their knowledge to understand how statistics works in everyday life and to understand their benefits and limitations
  • Coming up with a hypothesis and investigating it, then analysing and presenting the results
  • Acquiring skills that are relevant in a wide variety of other subjects such as the sciences, geography and social sciences
  • The application to vocational qualifications.

Overlap with other qualifications

  • Some topics from probability, measures of spread, measures of location and the data-handling cycle are included in GCSE Mathematics
  • A large quantity of the GCSE Statistics course also appears in Mathematics, Geography, Business / Finance, Science & the Social Sciences, Sport Sciences

Follow-on Study

  • Throughout the GCSE Statistics programme, students are encouraged to think about ‘the bigger picture’ of modern statistics logically and analytically. These fundamental statistical and lateral thinking skills are useful across all kinds of disciplines and careers
  • GCSE Statistics could lead on to further study in Statistics at A-level or other related subjects such as Maths, Further Maths and the Social Sciences
  • It could lead to higher study in subjects such as: Computer Science, Biochemical Sciences, Natural Sciences, Anthropology, Geography, Engineering, Medical Science, Psychology, Sociology, Linguistics, Politics, Economics, Law, Accountancy and Management


The entire GCSE grade will be assessed through examinations:

  • Paper 1 (80 marks) – 50% (Foundation or Higher tier)
  • Paper 2 (80 marks) – 50% (Foundation or Higher tier)

The questions on both papers will be a combination of multiple choice, short answers, and a Statistical Enquiry Cycle (SEC) question.

Mathematics Department

Mrs L Gaggini – Senior Lead Practitioner, Subject Leader of Mathematics and Statistics

Mrs J Bloore – Second in Mathematics, Numeracy Across The Curriculum Coordinator, Teacher of Mathematics & Statistics

Ms M Roberts – Lead Practitioner

Mrs N Walker – Teacher of Mathematics and Statistics

The Academy believes in developing the person as a whole so they can accomplish educational excellence."