Lesson 5.05c-d

5.05c-d Normal-based hypothesis tests and confidence intervals Quiz: OCR Further Maths, Unit 2

20 questions

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Lesson 5.05c-d, Normal-based hypothesis tests and confidence intervals: 20 multiple choice questions for the OCR Further Maths (H245), Unit 2: Statistics (Y542), written with Revision Ninja.

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The 20 questions

  1. Which distribution is used to test a normal population mean when the population variance is known?

    • Normal distribution
    • Student's t-distribution
    • Chi-squared distribution
    • Binomial distribution
  2. Which distribution is used for a small sample mean test when population variance is unknown?

    • Standard Normal distribution
    • Student's t-distribution
    • Chi-squared distribution
    • F-distribution
  3. What are the degrees of freedom for a single sample t-test with sample size 15?

    • 16
    • 13
    • 15
    • 14
  4. What is the standard error of the mean for sample size 25 with population standard deviation 10?

    • 0.4
    • 2.5
    • 5
    • 2
  5. What is the margin of error for a normal confidence interval with critical value z?

    • z divided by SE
    • SE divided by z
    • z plus SE
    • z times SE
  6. What is the critical z-value for a symmetric 95% confidence interval?

    • 2.576
    • 1.960
    • 1.645
    • 1.282
  7. What is the critical z-value for a symmetric 90% confidence interval?

    • 1.960
    • 1.645
    • 2.576
    • 1.282
  8. What are the degrees of freedom for a paired t-test with 12 paired observations?

    • 11
    • 24
    • 12
    • 22
  9. What assumption about variances is required to pool sample variances in a two-sample t-test?

    • Known population variances
    • Equal sample sizes
    • Equal population variances
    • Zero population variances
  10. What are the degrees of freedom for a two-sample t-test with sample sizes 10 and 12?

    • 20
    • 21
    • 19
    • 22
  11. Calculate the test statistic z when sample mean is 105, target mean is 100, and SE is 2.5.

    • 2.0
    • 0.5
    • 2.5
    • 1.0
  12. What happens to the width of a confidence interval as sample size increases?

    • It increases
    • It stays constant
    • It doubles
    • It decreases
  13. How does increasing the confidence level from 95% to 99% affect the interval width?

    • It remains unchanged
    • It becomes narrower
    • It becomes zero
    • It becomes wider
  14. What is a Type I error in hypothesis testing?

    • Rejecting true null
    • Accepting false null
    • Rejecting false null
    • Accepting true null
  15. What is a Type II error in hypothesis testing?

    • Rejecting true null
    • Rejecting false null
    • Accepting false null
    • Accepting true null
  16. By what factor must sample size increase to halve the confidence interval width?

    • 16
    • 4
    • 2
    • 8
  17. What conclusion is drawn if a test yields p-value 0.03 at 5% significance level?

    • Increase sample size
    • Accept H0
    • Test is invalid
    • Reject H0
  18. How is unbiased sample variance s^2 calculated from sum of squared deviations SS?

    • SS / (n + 1)
    • SS / n
    • SS / sqrt(n)
    • SS / (n - 1)
  19. Which theorem justifies using normal distribution for large samples from non-normal populations?

    • Binomial Theorem
    • Central Limit Theorem
    • Chebyshev's Theorem
    • Bayes' Theorem
  20. What is the 95% confidence interval when sample mean is 50 and error margin is 3?

    • (44, 56)
    • (47, 50)
    • (48.5, 51.5)
    • (47, 53)

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