Lesson 2.01a

2.01a Population, sample and statistical terms Quiz: OCR Maths, Unit 11

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

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Lesson 2.01a, Population, sample and statistical terms: 20 multiple choice questions for the OCR Maths (H240), Unit 11: Statistical Sampling, written with Revision Ninja.

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The 20 questions

  1. What statistical term describes the complete set of all items or individuals being studied?

    • Sampling frame
    • Sample
    • Population
    • Parameter

  2. What is the term for a selection of items taken from a larger population?

    • Census
    • Parameter
    • Statistic
    • Sample

  3. Which sampling technique ensures every member of the population has an equal chance of selection?

    • Simple random
    • Systematic
    • Opportunity
    • Quota

  4. What term describes a complete list of all items or individuals in a population?

    • Sampling frame
    • Data set
    • Sample size
    • Census list

  5. Which sampling method selects people who are available and convenient at that precise moment?

    • Cluster sampling
    • Opportunity sampling
    • Stratified sampling
    • Quota sampling

  6. What type of statistical investigation collects data from every single member of a population?

    • Sample survey
    • Case study
    • Pilot study
    • Census

  7. Which non-random sampling technique fills pre-set quotas for different categories within a population?

    • Cluster sampling
    • Systematic sampling
    • Stratified sampling
    • Quota sampling

  8. Which sampling method involves selecting items at regular intervals from an ordered list?

    • Cluster sampling
    • Simple random
    • Stratified sampling
    • Systematic sampling

  9. A survey gathers opinions from 50 pupils in a school of 1000 pupils. What is 1000?

    • The parameter
    • The population
    • The sample
    • The sampling frame

  10. Which method randomly selects items in proportion to the sizes of existing sub-groups?

    • Quota sampling
    • Cluster sampling
    • Systematic sampling
    • Stratified sampling

  11. Asking the first 20 customers entering a shop on Monday morning is an example of what?

    • Quota sampling
    • Simple random
    • Opportunity sampling
    • Systematic sampling

  12. Dividing a population into groups, randomly picking full groups, and sampling everyone inside is called what?

    • Cluster sampling
    • Systematic sampling
    • Stratified sampling
    • Quota sampling

  13. If choosing 20 items systematically from an ordered list of 200, what is the interval?

    • 5
    • 100
    • 10
    • 20

  14. Which sampling method is most appropriate when sub-groups matter but no sampling frame exists?

    • Systematic sampling
    • Quota sampling
    • Simple random
    • Stratified sampling

  15. Why might two independent random samples from the same school give different mean heights?

    • Incorrect population
    • Natural variation
    • Biased sampling
    • Calculation error

  16. A school has 400 boys and 600 girls. How many boys are in a stratified sample of 50?

    • 20
    • 40
    • 25
    • 30

  17. What is the main statistical disadvantage of using opportunity sampling for research?

    • Time consuming
    • High cost
    • Likely bias
    • Requires frame

  18. What is a major advantage of simple random sampling compared to quota sampling?

    • Unbiased selection
    • Guaranteed proportions
    • No frame needed
    • Quickest method

  19. In what scenario is taking a sample essential rather than conducting a full census?

    • Testing to destruction
    • Unlimited budget
    • Small population
    • High accuracy needed

  20. When sampling without replacement, what assumption allows probabilities to remain approximately constant?

    • Large population
    • Normal distribution
    • Small population
    • Zero variance

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