^TERM

^{Class 6}

Autumn 1

1:1The Collection of Data

1(a) Planning

1(b) Types of Data

1(c) Population and Sampling

2(h) Estimation

1(d) Collecting Data

Autumn 2

1:2 Processing, Representing and Analysing Data

2(a) Tabulation and Diagrams

2(a) Representing Data

Spring 1

1:2. Processing, Representing and Analysing Data

2(b) Measures of Central Tendency

2(c) Measures of Dispersion

2(e) Scatter Diagrams and Correlation

2(f) Time Series  

Spring 2

1:3. Probability

3. Experimental and Theoretical Probability

Summer 1

1:3. Probability

Probability Distributions

     2. Processing, Representing and Analysing Data

(d) Further Summary Statistics

2(c) Standardised Scores

2(g) Quality Assurance

Summer 2

Revision

Examination Papers

^{For both Foundation and Higher tiers}

^{Paper 1}

^{Paper 2}

^{What is assessed?}

All specification content

^{How is it assessed?}

• Written exams: 1 hour 45 minutes each
• Tiered Higher and Foundation
• 80 marks each
• 50% of GCSE each

^{Type of question?}

Multiple choice, short answer and a Statistical Enquiry Cycle (SEC) question

^Coursework?

No coursework

^{Qualification: Linear or modular?}

This qualification is linear, i.e. students will sit their exams at the end of the course.

^{Aim: To allow students to demonstrate:}

• Recall information
• Draw together information from different areas of the syllabus
• Apply their knowledge and understanding in practical/ real world data and theoretical contexts, e.g. populations, climate, sales, sciences, business and economics etc.
• Identify trends through carrying out appropriate calculations and statistical diagrams
• Critical evaluation of data, calculations and diagrams
• Understand how technology has played a role in collection, visualisation and analysis of large quantities of data,
• Apply appropriate mathematical and statistical formulae