Guidance

Statistics: grade descriptors for GCSEs graded 9 to 1

Updated 6 September 2017

Applies to England

1. Grade 8

To achieve grade 8, candidates will be able to:

  • demonstrate a sophisticated knowledge and understanding of how the full statistical enquiry cycle is used in a statistical investigation, including understanding how the cycle fits together as a whole, and the inter-relation of parts
  • recognise constraints involved in sourcing appropriate data and understanding strategies to combat these constraints
  • use distributions, including the Binomial and Normal, to model real life situations
  • use appropriate techniques to represent data while understanding their advantages and limitations
  • derive relevant sophisticated statistics and interpret their numerical values
  • evaluate the reliability and validity of the conclusions of a statistical enquiry

2. Grade 5

To achieve grade 5, candidates will be able to:

  • demonstrate knowledge and understanding of the full statistical enquiry cycle, including how the cycle fits together as a whole, and how this may be used in a statistical investigation
  • recognise constraints involved in sourcing appropriate data
  • know and apply the formal notation for independent events and conditional probability
  • represent data in pictorial and tabular form using appropriate techniques
  • derive relevant statistics and interpret their numerical values
  • identify factors which might affect the reliability of the conclusion of a statistical enquiry

3. Grade 2

To achieve grade 2, candidates will be able to:

  • demonstrate a basic knowledge and understanding of some elements of the statistical enquiry cycle and how these may be used in a statistical investigation
  • understand some of the difficulties involved in collecting data
  • calculate probabilities for simple and combined events
  • interpret and produce frequency tables and diagrams
  • use tables and diagrams to produce summary statistics including measures of central tendency and measures of dispersion
  • draw simple statistical conclusions and communicate these in writing