Core Mathematics OCR at Graveney School
The key focus in the course is to develop transferrable problem solving skills in a range of applied contexts.
This course is especially useful for students who wish to study Biology, Psychology, Sociology or Geography at University or at A-Level due to the statistical content. During the course students will study:
Use of spreadsheets, modelling and estimation, statistical problem solving - mainly with GCSE techniques, financial problem solving - including percentages and foreign
exchange, exponential growth, standard form, logarithmic scales on graphs, graphs and gradient as rate of change, probability and risk.
In Statistical Problem Solving students will learn sampling techniques and the process of hypothesis testing by using genuine data from geographical, biological and psychological experiments. These highly relevant skills will extend students' understanding of statistical problem solving, support students in readiness for using statistical techniques at university or in business and enable learners to develop a powerful and confident approach to working with real data and interpreting their results.
Students will take the level 3 certificate in Quantitative Problem Solving. This qualification carries AS equivalent UCAS tariff points. It will be taught over two years, be examined at the end of year 13 and will consolidate and extend the mathematics learnt at GCSE.
Introduction to Quantitive Reasoning: 2 hour written paper.
Statistical Problem Solving: 2 hour written paper.
Both papers will be taken at the end of year 13.
This is a new qualification which has arisen in response to demand by universities for students with better mathematical and statistical problem solving skills. Although no University currently requires this qualification for entry many universities now recomend it for students considering further study in the Social Sciences or Biological Sciences.
How to apply
If you want to apply for this course, you will need to contact Graveney School directly.
Last updated date: 08 November 2017