How do I revise E2E stub topic for OCR GCSE?

Always link the chosen sampling method to the specific context given in the question

What exam tips are there for E2E stub topic? (2)

When asked to evaluate, explicitly compare the strengths and weaknesses of at least two methods

What exam tips are there for E2E stub topic? (3)

For stratified sampling calculations, show clear working to demonstrate how each stratum sample size is determined proportionally

What mistakes should I avoid in E2E stub topic?

Confusing stratified sampling with quota sampling: students often think quota sampling is a random method

What are common errors in E2E stub topic exams? (2)

Assuming that increasing sample size automatically eliminates bias without considering the sampling method

E2E stub topic

OCR

GCSE

This subtopic covers the fundamental concepts of sampling techniques in statistics, including random and non-random methods such as simple random sampling, stratified sampling, and quota sampling. Students learn to design sampling strategies that minimize bias and produce representative data for analysis. Practical applications include market research, opinion polls, and quality control in manufacturing.

Objectives

Exam Tips

Pitfalls

Key Terms

Mark Points

What You Need to Demonstrate

Key skills and knowledge for this topic

Award credit for correctly identifying the type of sampling method used in a scenario
Accept explanations that clearly link the choice of sampling method to reducing bias
Recognise accurate calculations when selecting a stratified sample proportionally to sub-group sizes
Credit given for discussing advantages and disadvantages of different methods with reference to practical constraints

Marking Points

Key points examiners look for in your answers

Award credit for correctly identifying the type of sampling method used in a scenario
Accept explanations that clearly link the choice of sampling method to reducing bias
Recognise accurate calculations when selecting a stratified sample proportionally to sub-group sizes
Credit given for discussing advantages and disadvantages of different methods with reference to practical constraints

Examiner Tips

Expert advice for maximising your marks

💡Always link the chosen sampling method to the specific context given in the question
💡When asked to evaluate, explicitly compare the strengths and weaknesses of at least two methods
💡For stratified sampling calculations, show clear working to demonstrate how each stratum sample size is determined proportionally
💡In exam answers, use correct statistical terminology such as 'simple random sampling', 'biased', 'representative', and 'sampling frame'

Common Mistakes

Pitfalls to avoid in your exam answers

Confusing stratified sampling with quota sampling: students often think quota sampling is a random method
Assuming that increasing sample size automatically eliminates bias without considering the sampling method
Misidentifying the sampling frame as the entire population rather than the accessible list from which the sample is drawn
Believing that a volunteer sample is a form of random sample

Study Guide Available

Comprehensive revision notes & examples

Read Study Guide

Key Terminology

Essential terms to know

Random vs. non-random sampling

Minimising bias in data collection

Stratified and quota sampling techniques

Sampling frame and sample size considerations

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