Statistical Sampling — A-Level Mathematics Revision
Revise Statistical Sampling for A-Level Mathematics. Step-by-step explanation, worked examples, common mistakes and exam-style practice aligned to AQA, Edexcel and OCR.
At a glance
- What StudyVector is
- An exam-practice platform with board-aligned questions, explanations, and adaptive next steps.
- This topic
- Statistical Sampling in A-Level Mathematics: explanation, examples, and practice links on this page.
- Who it’s for
- Students revising A-Level Mathematics for UK exams.
- Exam boards
- Practice is aligned to major specifications (AQA, Edexcel, OCR, WJEC, Eduqas, Cambridge International (CIE), SQA, IB, AP).
- Free plan
- Sign up free to use tutor paths and full feedback on your answers. Pricing
- What makes it different
- Syllabus-shaped practice and progress tracking—not generic AI answers.
Topic has curated content entry with explanation, mistakes, and worked example. [auto-gate:promote; score=75.25]
Next in this topic area
Next step: Data Presentation & Interpretation
Continue in the same course — structured practice and explanations on StudyVector.
Go to Data Presentation & InterpretationWhat is Statistical Sampling?
Statistical sampling at A-Level involves selecting a subset of individuals from a larger population to estimate characteristics of the whole population. You will learn about different sampling methods, such as simple random sampling, systematic sampling, and stratified sampling, and understand the concepts of bias and variance.
Board notes: All A-Level Maths boards (AQA, Edexcel, OCR) cover statistical sampling. The emphasis on different sampling methods and the complexity of the problems can vary slightly between boards.
Step-by-step explanationWorked example
A school has 800 students, with 440 boys and 360 girls. A stratified sample of 50 students is required. The number of boys in the sample should be (440/800) * 50 = 27.5, which we round to 28. The number of girls in the sample should be (360/800) * 50 = 22.5, which we round to 22. So the sample should contain 28 boys and 22 girls.
Practise this topic
Jump into adaptive, exam-style questions for Statistical Sampling. Free to start; sign in to save progress.
Common mistakes
- 1Confusing random sampling with haphazard sampling. Random sampling requires a systematic method to ensure every member of the population has an equal chance of being selected.
- 2Not understanding the purpose of stratified sampling. This method is used to ensure that subgroups of a population are represented proportionally in the sample.
- 3Making errors in calculations for systematic sampling, particularly when determining the interval size.
Statistical Sampling exam questions
Exam-style questions for Statistical Sampling with mark-scheme style solutions and timing practice. Aligned to AQA, Edexcel and OCR specifications.
Statistical Sampling exam questionsGet help with Statistical Sampling
Get a personalised explanation for Statistical Sampling from the StudyVector tutor. Ask follow-up questions and work through problems with step-by-step support.
Open tutorFree full access to Statistical Sampling
Sign up in 30 seconds to unlock step-by-step explanations, exam-style practice, instant feedback and on-demand coaching — completely free, no card required.
Try a practice question
Unlock Statistical Sampling practice questions
Get instant feedback, step-by-step help and exam-style practice — free, no card needed.
Start Free — No Card NeededAlready have an account? Log in
Step-by-step method
Step-by-step explanation
4 steps · Worked method for Statistical Sampling
Core concept
Statistical sampling at A-Level involves selecting a subset of individuals from a larger population to estimate characteristics of the whole population. You will learn about different sampling methods…
Frequently asked questions
What is the difference between a census and a sample?
A census is a survey of the entire population, while a sample is a survey of a subset of the population. A census is more accurate but is often impractical due to time and cost.
What is bias in sampling?
Bias in sampling occurs when the sample is not representative of the population. This can happen if the sampling method is flawed, leading to an over- or under-representation of certain groups.