S1.3StatisticsCore

Non-Random Sampling

Sometimes a random sample is impractical, so non-random methods are used. The two you need are quota sampling and opportunity (convenience) sampling — quick and cheap, but more prone to bias.

20 min Video by Zeeshan Zamurred Data Collection
Edexcel AS Level Maths: Data Collection (Part 1) — Non-Random SamplingWatch the full walkthrough before the notes below.
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What you'll be able to do

  • Describe quota sampling
  • Describe opportunity (convenience) sampling
  • Compare them with random methods
  • Recognise sources of bias
1

Quota sampling

The interviewer is told to select a fixed from each group (e.g. 20 men and 20 women) but chooses the actual individuals themselves. It does not need a sampling frame and is quick, but the interviewer’s choices can introduce bias.

2

Opportunity (convenience) sampling

You sample whoever is at the time — for example asking passers-by. It is the easiest and cheapest method but is the most likely to be and biased.

Tip — Opportunity sampling = “whoever is convenient”. Fast, but the least reliable for fair conclusions.

3

Random vs non-random

Random methods reduce bias but need a sampling frame and more effort. Non-random methods are faster and cheaper and work without a frame, at the cost of representativeness. The right choice depends on the situation.

Formula recap

Quota sampling.
Convenience sampling.
Trade-off.

Common mistakes to avoid

Confusing quota sampling with stratified sampling.
Stratified is random within groups; quota lets the interviewer pick the individuals (non-random).
Assuming non-random samples are useless.
They are valid and practical — just more prone to bias and less representative.

Key takeaways

  • Quota: a fixed number from each group, chosen by the interviewer (no frame needed).
  • Opportunity: sample whoever is available — easiest but most biased.
  • Non-random methods trade representativeness for speed and cost.

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