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AP Statistics Confidence Intervals for Means and Proportions

Authored by Anthony Clark

Mathematics

12th Grade

AP Statistics Confidence Intervals for Means and Proportions
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13 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A researcher at a major hospital wishes to estimate the proportion of the adult population of the U.S. that has high blood pressure.  How large a sample is needed in order to be 90% confident that the sample proportion will not differ from the true proportion by more than 5%?

9

271

164

542

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following values below represents the critical value for a 98% confidence interval?

2.326

2.054

1.645

3.091

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A sample size of n = 64 is drawn from a population whose standard deviation is σ = 5.6.


Find the margin of error for a 99% confidence interval for µ.

1.799

1.798

1.803

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is an example of an interval estimate?

point estimate 

critical value

confidence interval

statistic

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A __________ gives an interval of plausible values for the _____________. 

confidence interval, statistic

point estimate, parameter

point estimate, statistic

confidence interval, parameter

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105.2. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college.


What is the point estimate?

75

105.2

10

0.90

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105.2. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college. Find the Standard Error.

75

10

105.2

1.155

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