Lesson 4B.5.5
4B.5.5 Large sample confidence intervals Quiz: Pearson Edexcel Further Maths, Unit 22
20 questions
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Lesson 4B.5.5, Large sample confidence intervals: 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 parameter replaces population standard deviation sigma in a large-sample confidence interval when sigma is unknown?
- Sample variance
- Standard error
- Sample standard deviation
- Population mean
-
According to the Central Limit Theorem, what distribution does the sample mean approach for large samples?
- Binomial distribution
- Poisson distribution
- Normal distribution
- Uniform distribution
-
What is the formula for a large-sample 95% confidence interval for a mean with unknown sigma?
- x-bar +/- 1.96s/n
- x-bar +/- 1.96s/sqrt(n)
- x-bar +/- 2.576s/sqrt(n)
- x-bar +/- 1.645s/sqrt(n)
-
What is the large-sample 95% confidence interval for mu_x - mu_y with unknown variances?
- (x-bar - y-bar) +/- 1.96 (s_x^2 - s_y^2)/(n_x + n_y)
- (x-bar - y-bar) +/- 1.96 sqrt(s_x^2/n_x + s_y^2/n_y)
- (x-bar - y-bar) +/- 1.96 (s_x + s_y)/(n_x + n_y)
- (x-bar - y-bar) +/- 1.96 sqrt((s_x^2 + s_y^2)/(n_x + n_y))
-
What minimum sample size is commonly considered large enough to apply the Central Limit Theorem?
- 10
- 100
- 50
- 30
-
Which distribution approximately models the standardized test statistic for a large sample with unknown sigma?
- Exponential
- Standard normal
- Chi-squared
- Uniform
-
Why can the z distribution replace the t distribution for very large sample sizes?
- Variance becomes zero
- z is exact
- t approaches z
- t becomes zero
-
A sample of n = 100 has mean 40 and s = 8. What is the 95% confidence interval for the population mean, to 2 decimal places?
- (38.43, 41.57)
- (36.08, 43.92)
- (38.00, 42.00)
- (39.22, 40.78)
-
A sample of n = 64 has mean 75 and s = 12. What is the 90% confidence interval for the mean, to 2 decimal places?
- (70.00, 80.00)
- (72.06, 77.94)
- (73.50, 76.50)
- (72.53, 77.47)
-
Sample A: n = 60, mean 9 with s = 5. Sample B: n = 80, mean 5 with s = 7. What is the 95% confidence interval for the difference of means, to 2 decimal places?
- (1.00, 7.00)
- (0.02, 7.98)
- (3.00, 5.00)
- (2.01, 5.99)
-
A sample of n = 100 has s = 8. What is the standard error of the sample mean?
- 0.8
- 8
- 0.08
- 1.6
-
A sample of n = 100 has s = 10. What is the width of the 95% confidence interval for the mean?
- 19.6
- 1.96
- 0.98
- 3.92
-
A sample of n = 49 has mean 20 and s = 3.5. What is the 99% confidence interval for the mean, to 2 decimal places?
- (19.02, 20.98)
- (16.50, 23.50)
- (18.71, 21.29)
- (18.00, 22.00)
-
What happens to critical values of the t distribution as degrees of freedom become very large?
- Approach z values
- Become zero
- Tend to infinity
- Remain constant
-
Two independent samples each have sample standard deviation 3 and 4, with n = 50 in both groups. What is the standard error of the difference of means, to 2 decimal places?
- 1.00
- 0.50
- 0.71
- 0.25
-
How does increasing sample size n affect the approximation of sigma by sample standard deviation s?
- Variance doubles
- No effect
- Accuracy decreases
- Accuracy improves
-
What is the smallest whole sample size n for a 95% confidence interval with half-width at most 0.5, when the sample standard deviation is about 6?
- 24
- 553
- 144
- 554
-
A sample of size n = 36 is taken from a skewed population. Is a z interval appropriate?
- Only with sigma
- No, sample small
- Yes, by CLT
- No, population skewed
-
Two independent samples each have n = 100 and s = 10 for both groups. What is the half-width of a 95% confidence interval for the difference of means, to 2 decimal places?
- 1.41
- 1.96
- 2.77
- 3.92
-
For large samples the difference of means is -2.5 with a standard error of 1. What is the two-tailed p-value, to 3 decimal places?
- 0.006
- 0.012
- 0.994
- 0.025
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