Question

@rational

Answer 1

3. Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places.

90% confidence; n = 480, x = 120

0.0325
0.0406
0.0348
0.0387

Answer 2

5. Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p.

A survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct the 95% confidence interval for the true proportion of all voters in the state who favor approval.

0.438 < p < 0.505
0.444 < p < 0.500
0.471 < p < 0.472
0.435 < p < 0.508

Answer 3

@rational

Answer 4

@pitamar

Answer 5

9. Select the correct response.

Which estimator will consistently have an approximately normal distribution?

proportion
range
standard deviation
median

Answer 6

10. Provide an appropriate response.

Samples of size n = 60 are randomly selected from the population of numbers (0 through 9) produced by a random-number generator, and the mean is taken for each sample. What is the distribution of the sample means?

skewed to the left
not enough information provided
skewed to the right
normal (approximately)

Answer 7

11. Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places.

99% confidence; n = 6500, x = 1950

0.0128
0.0146
0.0083
0.0111

Answer 8

13. Solve the problem.

The following confidence interval is obtained for a population proportion, p: (0.707, 0.745). Use these confidence interval limits to find the margin of error, E.

0.017
0.020
0.038
0.019

Answer 9

12. Provide an appropriate response.

Samples of size n = 900 are randomly selected from the population of numbers (0 through 9) produced by a random-number generator, and the proportion of numbers ≥ 5 is found for each sample. What is the distribution of the sample proportions?

skewed to the right
skewed to the left
not enough information provided
normal (approximately)

Answer 10

12. \[\ge5\]

Answer 11

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