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A-Level Statistics

Study Mode
Full Time
Level
3
Duration
2 Years
Subject
Maths
Suitable for
16-18
Location
Newham Sixth Form Centre
A-Level Statistics
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Course content

This is a challenging A Level and should be carefully researched before choosing it as one of your subjects.

Statistics is the science of data – how it is collected, analysed and interpreted. With data playing an increasingly important role across business, science, government and academia, this course will give you the practical tools and analytical skills to make sense of information and draw meaningful conclusions. It is ideal if you enjoy working with numbers but prefer applied problem-solving rather than pure mathematics.

Key topics include:

  • Statistical distributions
  • Hypothesis testing
  • Applications of statistics in real-world contexts

You will:

  • Apply statistical techniques to data from a range of contexts
  • Use research methods to plan and analyse surveys and experiments
  • Create and interpret charts, graphs and data visualisations
  • Understand how technology supports large-scale data analysis
  • Develop skills in critical thinking, evaluation and problem-solving

Curriculum

A Levels at Newham College London (NewVic Sixth Form Centre)

Achieve. Progress. Succeed.

Our A Level Centre at NewVic Sixth Form offers a proven track record of high achievement and strong progression to top universities. You’ll study in a supportive, focused environment with expert teachers, excellent facilities and clear routes to higher education and future careers. As part of Newham College London, you’ll benefit from a wider choice of subjects, enrichment and progression opportunities across four campuses – helping you power your tomorrow with confidence and ambition.

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Entry requirements

  • GCSE profile: Minimum of 5 GCSEs with an average grade of 6 or above.
  • Subject-specific grades: English Language at grade 5 and Mathematics at grade 6.
  • Suitability: Ideal for students who enjoy analytical thinking and wish to apply statistical methods to real-world situations.