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
-
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
-
In any hypothesis test, what defines a Type I error?
- Accepting true H0
- Rejecting false H0
- Rejecting true H0
- Accepting false H0
-
What population distribution is assumed when conducting a chi-squared test for a population variance?
- Poisson
- Binomial
- Uniform
- Normal
-
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
-
For an upper-tailed chi-squared test, when is H0 rejected?
- Below critical value
- Exceeds critical value
- Is negative
- Equals zero
-
Which option best describes the shape of a chi-squared distribution?
- Negatively skewed
- Positively skewed
- Symmetrical
- Bimodal
-
What probability lies above a 5% upper critical value?
- 0.50
- 0.025
- 0.05
- 0.95
-
A sample of n = 10 has s^2 = 8. Test H0: sigma^2 = 4. What is the test statistic?
- 20
- 18
- 5
- 4.5
-
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
-
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
-
Test statistic = 33.75, critical value = 25.00. What is the test conclusion?
- Do not reject H0
- Inconclusive
- Reject H0
- Accept H0
-
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
-
When H0 is true, what is the expected value of the statistic (n - 1)s^2/sigma^2?
- sigma^2
- n - 1
- 1
- n
-
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
-
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
-
What factor besides sample variance affects the significance of a chi-squared variance test?
- Population mean
- Sample size
- Median
- Expected value
-
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
-
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)
-
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
-
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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