Lesson 2.01b

2.01b Informal inference from samples Quiz: OCR Maths, Unit 11

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

In partnership with Revision Ninja

Lesson 2.01b, Informal inference from samples: 20 multiple choice questions for the OCR Maths (H240), Unit 11: Statistical Sampling, written with Revision Ninja.

Host it live on the board and students join with a game code on their own devices, or revise alone with Free Play. The answers are revealed in the game.

Host this setFree Play

The 20 questions

  1. What is the term for the entire group of items under statistical investigation?

    • Statistic
    • Parameter
    • Population
    • Sample

  2. Which sampling method gives every item in the population an equal chance of selection?

    • Simple random
    • Systematic
    • Opportunity
    • Quota

  3. What is a subset of a population used to make inferences about that population?

    • Parameter
    • Census
    • Sample
    • Variable

  4. Which sampling method selects individuals who are available at the time of testing?

    • Cluster
    • Stratified
    • Opportunity
    • Simple random

  5. Which non-random sampling method selects participants until specific proportions are met?

    • Stratified
    • Systematic
    • Simple random
    • Quota

  6. Which sampling method divides a population into groups and selects entire groups at random?

    • Quota
    • Cluster
    • Stratified
    • Systematic

  7. Which method divides the population into subgroups and samples randomly from each subgroup?

    • Quota
    • Opportunity
    • Stratified
    • Cluster

  8. Selecting every kth element from an ordered list is known as which sampling technique?

    • Quota
    • Simple random
    • Opportunity
    • Systematic

  9. A sample of 50 students from a school of 500 has what sampling fraction?

    • 1 in 50
    • 1 in 10
    • 1 in 100
    • 1 in 5

  10. A school has 600 boys and 400 girls. In a stratified sample of 50, how many boys are chosen?

    • 30
    • 40
    • 20
    • 25

  11. A researcher asks the first 20 people exiting a shop. What sampling method is this?

    • Systematic
    • Opportunity
    • Simple random
    • Quota

  12. Why might two different random samples from the same population produce different mean estimates?

    • Measurement error
    • Systematic error
    • Sampling variation
    • Quota bias

  13. What is a main disadvantage of opportunity sampling?

    • High bias
    • High cost
    • Hard to collect
    • Too slow

  14. In systematic sampling from 200 items to get 20 items, what interval k should be used?

    • 100
    • 5
    • 10
    • 20

  15. When sampling from a very large population without replacement, what assumption is standard?

    • Fixed quotas
    • Independence
    • Equal strata
    • Zero variance

  16. Drawing names randomly out of a hat containing all population names represents which method?

    • Stratified
    • Simple random
    • Quota
    • Systematic

  17. Why might a sample mean differ systematically from the true population mean?

    • Sampling variation
    • Random error
    • Sampling bias
    • Large sample size

  18. A population has 3 strata of sizes 100, 200, 300. How many from stratum 2 for sample size 60?

    • 10
    • 20
    • 30
    • 40

  19. Using a sample mean to estimate an unknown population mean is an example of what process?

    • Data presentation
    • Census calculation
    • Stratification
    • Informal inference

  20. What is a major advantage of stratified sampling over simple random sampling?

    • Guarantees representation
    • Cheaper to run
    • Requires no frame
    • Easier to calculate

All OCR Maths quizzes