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Statistics AS & A Level at Richard Huish College

Course description

In year one, the foundations of the methods used to analyse data are laid. These include an introduction to basic probability theory and common probability models (e.g. the Normal distribution). We look at choosing the best sampling method to obtain the most reliable data from which estimates of population values may be drawn. The first year also covers methods by which “hypotheses” may be tested using gathered data or data drawn from an experiment. These themes are developed further in the second year.

Throughout the course, the emphasis is on the application of the methods taught. Although an understanding of when each method is appropriate is important, much of the detailed mathematical theory is not central to the course. Teaching will mainly be through clear introduction and examples, though there may be opportunities to apply the methods learnt to extended work, particularly in other subjects such as Psychology.

Entry requirements

Standard college entry requirements; 5 GCSEs at grade C or above including Maths and English Language


Examining Board: AQA

You will be assessed by final examination.

Future opportunities

The course is primarily aimed at students who are looking to move into the life sciences or business sectors but do not wish to study a more general, abstract mathematics course.

How to apply

If you want to apply for this course, you will need to contact Richard Huish College directly.

Last updated date: 15 November 2016
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    • Huish is situated on the edge of parkland overlooking fields and hills, about ten minutes walk from the town centre.

      Huish is committed to encouraging you to travel to college by cycle, public transport or car sharing where possible. There is a cycle path to the College taking you to Vivary Park so that you don’t have to walk or cycle with the traffic along South Road. It takes about 15 minutes to walk to college from the bus station but many of the buses students use come directly to the campus.