Lesson 1.3.8

1.3.8 Type 1 and type 2 errors Quiz: OCR Psychology, Unit 1

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

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Lesson 1.3.8, Type 1 and type 2 errors: 20 multiple choice questions for the OCR Psychology (H567), Unit 1: Research methods (Component 01), written with Revision Ninja.

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The 20 questions

  1. What is a Type 1 error in psychological research?

    • A false negative
    • A measurement error
    • A false positive
    • A procedural bias

  2. What is a Type 2 error in psychological research?

    • A sampling bias
    • A systematic error
    • A false positive
    • A false negative

  3. What happens to the null hypothesis during a Type 1 error?

    • It is rejected
    • It is retained
    • It is modified
    • It is proven

  4. What happens to the null hypothesis during a Type 2 error?

    • It is deleted
    • It is rejected
    • It is falsified
    • It is retained

  5. Which significance level is standardly used in psychology research?

    • p ≤ 0.05
    • p ≤ 0.50
    • p ≤ 0.001
    • p ≤ 0.10

  6. Increasing the significance level from p ≤ 0.05 to p ≤ 0.10 increases the risk of which error?

    • Measurement error
    • Type 2 error
    • Standard error
    • Type 1 error

  7. Changing the significance level from p ≤ 0.05 to p ≤ 0.01 increases the risk of which error?

    • Observer error
    • Type 2 error
    • Type 1 error
    • Random error

  8. A researcher finds a significant difference that does not actually exist in the population. What occurred?

    • Order effect
    • Type 1 error
    • Demand characteristic
    • Type 2 error

  9. A researcher claims there is no difference between two groups, but a real difference exists. What occurred?

    • Type 2 error
    • Type 1 error
    • Social desirability
    • Researcher bias

  10. If a study has a very small sample size, which error is more likely to occur?

    • Confounding error
    • Type 1 error
    • Publication error
    • Type 2 error

  11. What is the probability of making a Type 1 error when using p ≤ 0.05?

    • 0.5%
    • 50%
    • 95%
    • 5%

  12. What is the probability of making a Type 1 error when using p ≤ 0.01?

    • 1%
    • 99%
    • 0.1%
    • 10%

  13. Which symbol traditionally represents the probability of committing a Type 1 error?

    • Gamma
    • Beta
    • Delta
    • Alpha

  14. Which symbol traditionally represents the probability of committing a Type 2 error?

    • Alpha
    • Beta
    • Theta
    • Chi

  15. How is statistical power calculated in relation to the Type 2 error rate?

    • 1 / Beta
    • 1 - Alpha
    • Alpha + Beta
    • 1 - Beta

  16. A drug trial incorrectly concludes a new memory medication is effective when it is not. Which error occurred?

    • Sampling error
    • Attrition error
    • Type 2 error
    • Type 1 error

  17. A study incorrectly concludes a therapy has no benefit, missing its true effectiveness. Which error occurred?

    • Hawthorne effect
    • Type 1 error
    • Type 2 error
    • Confirmation bias

  18. Why might a psychologist choose p ≤ 0.01 over p ≤ 0.05 when testing a dangerous drug?

    • Increase power
    • Increase sample
    • Avoid Type 1
    • Avoid Type 2

  19. Why might a researcher choose p ≤ 0.10 during initial pilot testing of a safe intervention?

    • Avoid Type 1
    • Reduce sample
    • Avoid Type 2
    • Ensure validity

  20. What happens to the probability of Type 2 error as statistical power increases?

    • It decreases
    • It increases
    • It equals alpha
    • It stays constant

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