Lesson 4B.6.1

4B.6.1 Hypothesis test for a population variance Quiz: Pearson Edexcel Further Maths, Unit 23

20 questions

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Lesson 4B.6.1, Hypothesis test for a population variance: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 23: Chi-squared variance test, written with Revision Ninja.

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The 20 questions

  1. Under H0: sigma^2 = sigma0^2, what is the test statistic for a sample of size n with sample variance s^2?

    • n s^2 / sigma0^2
    • (n - 1) s^2 / sigma0^2
    • (n - 1) sigma0^2 / s^2
    • (n - 1) s / sigma0
  2. In any hypothesis test, what defines a Type I error?

    • Accepting true H0
    • Rejecting false H0
    • Rejecting true H0
    • Accepting false H0
  3. What population distribution is assumed when conducting a chi-squared test for a population variance?

    • Poisson
    • Binomial
    • Uniform
    • Normal
  4. What is the null hypothesis when testing whether a population variance equals a specified value sigma_0^2?

    • H0: mu = sigma_0^2
    • H0: sigma = x-bar
    • H0: s^2 = sigma_0^2
    • H0: sigma^2 = sigma_0^2
  5. For an upper-tailed chi-squared test, when is H0 rejected?

    • Below critical value
    • Exceeds critical value
    • Is negative
    • Equals zero
  6. Which option best describes the shape of a chi-squared distribution?

    • Negatively skewed
    • Positively skewed
    • Symmetrical
    • Bimodal
  7. What probability lies above a 5% upper critical value?

    • 0.50
    • 0.025
    • 0.05
    • 0.95
  8. A sample of n = 10 has s^2 = 8. Test H0: sigma^2 = 4. What is the test statistic?

    • 20
    • 18
    • 5
    • 4.5
  9. Test statistic = 18, critical value = 16.919. What is the conclusion for H1: σ² > 4?

    • Test invalid
    • Accept H0
    • Do not reject H0
    • Reject H0
  10. A sample of n = 16 has s = 3. Test H0: sigma = 2 against H1: sigma > 2. What is the test statistic?

    • 6.67
    • 22.50
    • 33.75
    • 36.00
  11. Test statistic = 33.75, critical value = 25.00. What is the test conclusion?

    • Do not reject H0
    • Inconclusive
    • Reject H0
    • Accept H0
  12. A sample of n = 12 has s^2 = 5. Test H0: sigma^2 = 2 against H1: sigma^2 not equal to 2. What is the test statistic?

    • 2.27
    • 30.00
    • 13.75
    • 27.5
  13. When H0 is true, what is the expected value of the statistic (n - 1)s^2/sigma^2?

    • sigma^2
    • n - 1
    • 1
    • n
  14. A lower-tailed chi-squared test has statistic 3.2 and critical value 3.325. What is the conclusion?

    • Inconclusive
    • Do not reject H0
    • Accept H0
    • Reject H0
  15. A sample of n = 20 has s^2 = 10. Test H0: sigma^2 = 4 against H1: sigma^2 > 4. The 1% upper critical value for 19 df is 36.19. What is the test statistic?

    • 19.0
    • 7.6
    • 47.5
    • 50.0
  16. What factor besides sample variance affects the significance of a chi-squared variance test?

    • Population mean
    • Sample size
    • Median
    • Expected value
  17. For a two-tailed variance test, statistic = 14 and critical values = 1.690, 16.013. Conclusion?

    • Invalid test
    • Reject H0
    • Do not reject H0
    • Accept H1
  18. A sample of n = 10 has s^2 = 4. What is the 95% confidence interval for sigma^2, to 2 decimal places? (Chi-squared critical values for 9 df are 2.700 and 19.023.)

    • (4.00, 16.00)
    • (0.44, 3.33)
    • (1.89, 13.33)
    • (2.70, 19.02)
  19. For H1: sigma^2 > sigma0^2 with s^2/sigma0^2 fixed at 2, the statistic is (n - 1) x 2. By what factor does the statistic change when n increases from 10 to 40?

    • About 4.3, since 78/18 = 4.33
    • 2
    • 4
    • 16
  20. Why are the lower and upper critical values for a chi-squared test not symmetric?

    • Variance is negative
    • Mean is zero
    • Sample size varies
    • Distribution is skewed

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