Lesson 2.05a

2.05a Language of hypothesis testing Quiz: OCR Maths, Unit 15

20 questions

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Lesson 2.05a, Language of hypothesis testing: 20 multiple choice questions for the OCR Maths (H240), Unit 15: Statistical Hypothesis Testing, written with Revision Ninja.

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The 20 questions

  1. What does the null hypothesis H0 state in a statistical test?

    • Sample mean equals zero
    • Alternative outcome
    • Significant difference
    • No effect or change
  2. What does the alternative hypothesis H1 represent in a statistical test?

    • Default value
    • No change
    • Population variance
    • Parameter change or effect
  3. What does the significance level of a hypothesis test represent?

    • P(reject H0 | H0 true)
    • P(H0 is true)
    • P(H1 is true)
    • P(accept H0 | H0 false)
  4. What does the p-value represent in a statistical hypothesis test?

    • P(H0 is true)
    • P(H1 is true)
    • P(observed result | H0 true)
    • Fixed significance threshold
  5. A hypothesis test has H1: p != 0.4. What type of test is this?

    • One-tailed test
    • Two-tailed test
    • Upper-tail test
    • Lower-tail test
  6. What is the critical region in a statistical hypothesis test?

    • Significance level
    • Test statistic value
    • Values leading to rejection
    • Acceptance region
  7. What is a test statistic in a statistical hypothesis test?

    • Pre-set significance level
    • Hypothesised parameter value
    • Critical region boundary
    • Sample-derived decision value
  8. A test has H0: p = 0.7 and H1: p < 0.7. Where is the critical region?

    • Acceptance region
    • Lower tail
    • Upper tail
    • Both tails
  9. Which alternative hypothesis, H1, tests if a population mean mass, mu, has decreased from 500 g?

    • mu = 500
    • mu != 500
    • mu < 500
    • mu > 500
  10. What quality does a statistical test conclusion express by using phrases like 'suggests evidence'?

    • Mathematical certainty
    • Uncertainty
    • Deterministic truth
    • Absolute proof
  11. When sample evidence is not significant at the chosen level, what action is taken regarding H0?

    • Accept H0
    • Prove H0
    • Reject H0
    • Do not reject H0
  12. A hypothesis test at the 5% significance level yields a p-value of 0.03. What decision is made?

    • Inconclusive
    • Reject H0
    • Do not reject H0
    • Accept H0
  13. In a two-tailed test at the 5% significance level, what probability is in each tail?

    • 2.5%
    • 1%
    • 5%
    • 10%
  14. A test at the 10% significance level gives a p-value of 0.08. What decision is made?

    • Accept H0
    • Do not reject H0
    • Invalid test
    • Reject H0
  15. Why does failing to reject H0 not mean that H0 is true?

    • Data is false
    • H0 is disproven
    • Insufficient sample evidence
    • Proof of H1
  16. Besides referencing the context, what must a formal test conclusion explicitly state?

    • Sample variance
    • Population size
    • Critical value formula
    • Significance level
  17. What is the set of test statistic values for which H0 is not rejected called?

    • Critical region
    • Acceptance region
    • Rejection region
    • Significance level
  18. How is the 5% significance level allocated in a one-tailed test?

    • 10% in one tail
    • 5% in both tails
    • 2.5% in each tail
    • 5% in one tail
  19. A two-tailed test at the 5% level produces a p-value of 0.024. What is the outcome?

    • Change significance level
    • Reject H0
    • Accept H0
    • Do not reject H0
  20. If H0 is true, what is the maximum probability of incorrectly rejecting it at a 5% level?

    • 2.5%
    • 95%
    • 5%
    • 0%

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