Te reo Māori terms
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Master Teaching Guide coverage for this objective.
Resources
- CorbettMaths on Random SamplingQuestions PDF · Answers
- CorbettMaths on Stratified SamplingQuestions PDF · Answers
Terminology
- Sample
- Population
- Sampling methodology
- Simple random sampling
- Systematic sampling
- Stratified sampling
- Cluster sampling
- Convenience sampling
- Bias
- Representative sample
Task goals
- Describe simple random, systematic, stratified, cluster, and convenience sampling, and identify which method a described scenario or sampling-frame diagram uses.
- Explain at least one advantage and one disadvantage of each of the five sampling methods.
- Calculate the correct number to sample from each stratum in a stratified sample, in proportion to stratum size.
- Explain why convenience sampling is quick and cheap but likely to produce a biased, unrepresentative sample.
- Explain why cluster sampling is practical for spread-out populations but risks being unrepresentative if the chosen clusters differ from the rest of the population.
- Judge which sampling method is most appropriate for a given real-world scenario, and justify the choice.
Key skills
- Sampling
- Methodology
- Bias
Quick stats
- 81 total questions
- 3 difficulty levels
- Answers included
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.



