Lesson SH1-SH2
SH1-SH2 Confidence intervals for a mean from large samples Quiz: AQA Further Maths, Unit 4
20 questions
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Lesson SH1-SH2, Confidence intervals for a mean from large samples: 20 multiple choice questions for the AQA Further Maths (7367), Unit 4: Optional application 2: statistics, written with Revision Ninja.
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The 20 questions
-
For a normal population with known variance sigma^2, which expression gives the symmetric 95% confidence interval for the population mean from a sample of n observations with mean xbar?
- xbar ± 1.645 × sigma/sqrt(n)
- xbar ± 1.96 × sigma^2/n
- xbar ± 1.96 × sigma × sqrt(n)
- xbar ± 1.96 × sigma/sqrt(n)
-
What is the standard error of the sample mean for n independent observations from a population with standard deviation sigma?
- sqrt(sigma/n)
- sigma^2/sqrt(n)
- sigma/n
- sigma/sqrt(n)
-
Which z value gives a symmetric 99% confidence interval for a normal mean, using the standard normal distribution?
- 2.326
- 1.645
- 1.960
- 2.576
-
Which z value gives a symmetric 90% confidence interval for a normal mean?
- 1.282
- 2.576
- 1.645
- 1.960
-
In repeated sampling, what proportion of 95% confidence intervals contain the population mean?
- 99%
- 5%
- 90%
- 95%
-
A sample of n = 36 is taken from a normal population with known sigma = 6. The sample mean is 50. What is the 95% confidence interval for the population mean?
- (48.04, 51.96)
- (48.04, 52.96)
- (49.00, 51.00)
- (44.12, 55.88)
-
A sample of n = 25 from a normal population with known sigma = 2 has mean 17.3. What is the symmetric 99% confidence interval for the population mean, to 2 decimal places?
- (16.27, 18.33)
- (15.97, 18.63)
- (16.52, 18.08)
- (17.30, 18.70)
-
If the sample size n is quadrupled, how does the confidence interval width change?
- It halves
- It stays constant
- It doubles
- It quarters
-
A normal population has known sigma = 4.5. What is the smallest sample size for a symmetric 95% confidence interval for the mean to have total width at most 2?
- 39
- 78
- 156
- 77
-
A sample of n = 100 from a population with unknown variance has mean 24.6 and standard deviation 5.2. Using the large-sample method, what is the approximate symmetric 95% confidence interval for the mean?
- (14.41, 34.79)
- (23.26, 25.94)
- (23.58, 25.62)
- (24.08, 25.12)
-
Why can the sample standard deviation s replace sigma for large samples?
- s removes bias
- s equals sigma
- s estimates sigma
- s reduces size
-
A symmetric 95% confidence interval for a population mean is (12.1, 15.9). What is the sample mean used to construct it?
- 14.0
- 3.8
- 15.9
- 13.0
-
A symmetric 95% confidence interval for a population mean is (12.1, 15.9). Assuming the z-based method, what is the standard error used?
- Approximately 1.900
- Approximately 0.950
- Approximately 0.969
- Approximately 3.724
-
How does increasing the confidence level from 95% to 99% affect interval width?
- It shifts right
- It becomes wider
- It becomes narrower
- It remains unchanged
-
A sample of n = 16 from a normal population with known sigma gives the 95% confidence interval (42.0, 48.0) for the mean. What is sigma, to 3 significant figures?
- 3.06
- 12.2
- 1.53
- 6.12
-
A normal population has known sigma = 3. What is the smallest sample size needed for a symmetric 95% confidence interval for the mean to have margin of error at most 0.5?
- 138
- 277
- 139
- 35
-
A symmetric 90% confidence interval is to be found for the mean of a normal population with known sigma = 10, using n = 25 observations with sample mean 60. What is the interval?
- (56.08, 63.92)
- (53.42, 66.58)
- (58.00, 62.00)
- (56.71, 63.29)
-
Before sampling, what is the probability that a random 95% confidence interval contains the population mean?
- 0.95
- 0.05
- 1.00
- 0.50
-
For a small sample with unknown variance, what effect does using z instead of t have?
- Interval too narrow
- Interval becomes asymmetric
- Mean shifts right
- Interval too wide
-
A sample of n = 400 from a population with unknown variance has mean 50 and standard deviation 8. What is the approximate symmetric 95% confidence interval for the mean?
- (48.43, 51.57)
- (49.61, 50.39)
- (42.16, 57.84)
- (49.22, 50.78)
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