Lesson 4B.5.3-4B.5.4
4B.5.3-4B.5.4 Confidence limits for a mean and for a difference of means Quiz: Pearson Edexcel Further Maths, Unit 22
20 questions
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Lesson 4B.5.3-4B.5.4, Confidence limits for a mean and for a difference of means: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 22: Confidence intervals, written with Revision Ninja.
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The 20 questions
-
What is the standard error used in a confidence interval for a single mean $\mu$ with known $\sigma$?
- $\sigma / n$
- $\sqrt{\sigma / n}$
- $\sigma / \sqrt{n}$
- $\sigma^2 / n$
-
What is the two-sided z value for a 95% confidence interval?
- 1.282
- 2.576
- 1.96
- 1.645
-
What is the standard error of $\bar{X} - \bar{Y}$ for independent samples with known population variances?
- $\sqrt{(\sigma_x^2 + \sigma_y^2)/(n_x + n_y)}$
- $\sigma_x/\sqrt{n_x} + \sigma_y/\sqrt{n_y}$
- $\sqrt{\sigma_x^2/n_x + \sigma_y^2/n_y}$
- $\sigma_x^2/n_x + \sigma_y^2/n_y$
-
Under $H_0$, what is the distribution of the test statistic for testing $\mu_X - \mu_Y$ with known variances?
- $\chi^2_1$
- $F_{n_1, n_2}$
- $N(0, 1)$
- $t_{n-1}$
-
Which assumption allows $z$-tests for sample means when populations are non-normal?
- Equal sample sizes
- Zero population mean
- Small sample size
- Large sample size
-
A population variance is known to be 16 and a sample of n = 64 is taken. What is the standard error of the sample mean?
- 2
- 0.25
- 4
- 0.5
-
Increasing the confidence level from 95% to 99% has what effect on a confidence interval?
- Halves its width
- Makes it wider
- Has no effect
- Makes it narrower
-
A sample of n = 25 from a population with sigma = 10 has mean 40. What is the 95% confidence interval for the population mean, to 2 decimal places?
- (36.00, 44.00)
- (38.00, 42.00)
- (30.00, 50.00)
- (36.08, 43.92)
-
Using the same sample (n = 25, sigma = 10, mean 40), what is the 90% confidence interval for the mean, to 2 decimal places?
- (36.71, 43.29)
- (34.71, 45.29)
- (37.00, 43.00)
- (36.08, 43.92)
-
Sample A: n = 40, mean 72, sigma = 8. Sample B: n = 50, mean 65, sigma = 6. What is the 95% confidence interval for mu_A - mu_B, to 2 decimal places?
- (0.00, 14.00)
- (4.01, 9.99)
- (5.00, 9.00)
- (6.00, 8.00)
-
A test statistic is $z = 4.60$. At the 5% two-tailed level (critical value 1.96), what is the conclusion?
- Inconclusive
- Accept $H_0$
- Reject $H_0$
- Reject $H_1$
-
A sample of n = 16 from a population with sigma = 4 has mean 20. What is the 99% confidence interval for the mean, to 2 decimal places?
- (17.42, 22.58)
- (16.00, 24.00)
- (18.04, 21.96)
- (17.00, 23.00)
-
To halve the width of a 95% confidence interval for a mean with sigma known, by what factor must the sample size n be multiplied?
- 1/2
- 2
- 8
- 4
-
A 95% confidence interval for $\mu_X - \mu_Y$ is $(1.2, 6.8)$. Is $H_0: \mu_X = \mu_Y$ rejected at 5% significance?
- No, includes zero
- No, excludes zero
- Yes, includes zero
- Yes, excludes zero
-
Samples have sigma_x = 3 with n_x = 9, and sigma_y = 4 with n_y = 16. What is the standard error of x-bar - y-bar, to 2 decimal places?
- 2.00
- 0.71
- 1.41
- 1.00
-
What is the smallest whole sample size n for a 95% confidence interval for a mean with half-width at most 1, when sigma = 10?
- 96
- 97
- 25
- 49
-
A 95% confidence interval for mu_x - mu_y is (-2.1, 0.5). Is H0: mu_x = mu_y rejected at 5%?
- Always
- No
- Only at 1%
- Yes
-
Which distribution does the standardized sample mean follow when the population is normal and sigma is known?
- F distribution
- Student t
- Chi-squared
- Standard normal
-
Two samples each have n = 25 and sigma = 5. The difference of sample means is 3. What is the two-tailed p-value of the z test for equal means, to 3 decimal places?
- 0.017
- 0.034
- 0.500
- 0.068
-
Which confidence interval best tests whether two population means are significantly different?
- Difference of means
- Pooled proportion
- Combined variance
- Individual sample means
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