Lesson 3p.05

3p.05 Compare experimental data with theoretical predictions to identify possible bias... Quiz: Pearson Edexcel Statistics, Unit 3

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

In partnership with Revision Ninja

Lesson 3p.05, Compare experimental data with theoretical predictions to identify possible bias...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 3: Probability, 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 strongly suggests a die is biased during experimental testing?

    • Random rolling method
    • Unequal outcome frequencies
    • Large sample size
    • Equal outcome frequencies

  2. What term describes differences from expected results caused by the design or process?

    • Sampling frame
    • Bias
    • Quartile
    • Mode

  3. A fair coin expected to give 50 heads in 100 tosses actually gives 75. What is indicated?

    • Exact theoretical match
    • Guaranteed fairness
    • Insufficient trials
    • Possible bias

  4. Surveying only participants who already like a product introduces what?

    • Random variation
    • Theoretical probability
    • Increased accuracy
    • Sample bias

  5. Which comparison checks experimental results against theoretical models?

    • Sample and population sizes
    • Mean and median values
    • Observed and expected frequencies
    • Independent and dependent variables

  6. A significant difference between observed and expected results suggests what?

    • Perfect experimental design
    • Guaranteed chance variation
    • Zero probability
    • Possible experiment bias

  7. A spinner should land on red 1/4 of the time. In 200 spins it lands on red 80 times. How many reds were expected?

    • 50
    • 125
    • 80
    • 20

  8. Asking fitness survey questions exclusively at a gym introduces what issue?

    • Mutually exclusive outcomes
    • Theoretical error
    • Absolute risk
    • Selection bias

  9. A die is expected to show each face 1/6 of the time. In 600 rolls, the observed count of sixes is 150. How many sixes were expected?

    • 60
    • 150
    • 100
    • 6

  10. 40% are expected to say yes. In a sample of 250, 140 say yes. What is the observed minus expected difference?

    • 140
    • 40
    • -40
    • 100

  11. A coin tossed 20 times gives 16 heads when 10 are expected. What is this difference?

    • Zero
    • Large
    • Theoretical
    • Negligible

  12. Bags should average 500 g but a sample averages 470 g. What does this suggest?

    • Increased sample size
    • Perfect calibration
    • Random chance only
    • Process bias

  13. A game gives a 1 in 10 chance. In 300 plays there are 45 wins. What is the conclusion?

    • Guaranteed fair game
    • Insufficient sample size
    • Possible bias
    • Perfect theoretical model

  14. Expected tails is 50 in 100 tosses, and observed tails is 57. What is the observed minus expected difference?

    • 57
    • 7
    • 50
    • -7

  15. Which method best reduces potential bias when testing a die for fairness?

    • Single trials
    • Manual spinning
    • Rolling randomly
    • Selective rolling

  16. Surveying drink preferences using only a coffee shop queue causes what?

    • Theoretical certainty
    • Exhaustive outcomes
    • Sample bias
    • Absolute probability

  17. A fair die rolled 1200 times gives 210 sixes. Is this result unusual?

    • Impossible
    • Very unusual
    • Guaranteed
    • Not unusual

  18. What is the primary cause of differences between observed and expected results?

    • Theoretical error
    • Sample size
    • Chance variation
    • Exact bias

  19. A coin tossed 20 times gives 4 heads against 10 expected. What is the best next step?

    • Change theoretical probability
    • Accept unfair coin
    • Stop the experiment
    • Repeat with more tosses

  20. How does a biased sampling frame affect experimental data?

    • Reduces sample size
    • Systematically favours outcomes
    • Improves reliability
    • Removes random chance

All Pearson Edexcel Statistics quizzes