
What is it?
For those who want to develop a deeper understanding of how to analyse and interpret real data. Compare and contrast different methods for collecting data and discover patterns in our world.
Why study this subject at Blackpool Sixth?
The course provides an excellent overview of many different statistical techniques and how they are applied to real-life contexts. An ideal complement to other statistically rich subjects to develop deeper understanding.
What skills will I develop?
- Problem solving
- Logical reasoning
- Analytical thinking
- Resilience
- Creativity
- Presenting structured solutions
- Interpreting data
How will I be taught?
Lessons are taught by subject specialists in a collaborative environment. Students are provided with many learning opportunities to work individually and in small groups – including working on whiteboards round the classrooms. The department has a website, where students can access lessons, resources and support videos.
How will I be assessed?
100% examination at the end of the second year.
Teacher expertise
All teachers have degrees in mathematics.
Field trips, projects and employability opportunities
You will complete project work based on the Statistical Enquiry Cycle, which will ensure you understand how to run a work based project.
Where does it lead?
Statistics is used within a variety of jobs, industries and businesses. At university, statistics modules will be part of other degrees, instance Geography, Psychology, and Biology studies, so having these skills will enable you to complete these studies with greater understanding.
Equipment
A Casio fx-9750GII is the minimum requirement for the course. If you want to buy the upgraded versions, please speak to your class teacher as to the preferred options.
Examination board
Edexcel.
Specific Requirements
- Grade 5 in GCSE Maths.
What will I study?
- Numerical measures, graphs and diagrams
- Probability
- Sampling
- Probability distributions
- Normal distribution
- Exponential and poisson distributions
- Correlation and linear regression
- Hypothesis testing
- Contingency tables
- Non-parametric tests
- Experimental design