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Sample Size of Confidence Intervals

Total questions: 20

Worksheet time: 20mins

Name
Class
Date
1.

A population has a standard deviation of σ = 17.3. How large of a sample must be drawn so that a 95% confidence interval for µ will have a Margin of Error equal to 1.4?

a)

586.6

b)

587

c)

586

d)

585

2.

The lifetime of a certain type of batter is known to be normally distributed with a standard deviation of 20 hours. A sample of 50 batteries had a mean lifetime of 120.1 hours. It is desired to construct a 99% confidence interval for the mean lifetime of this type of battery.


What is the Confidence Interval to one decimal place?

a)

(114.5, 125.6)

b)

(112.8, 127.4)

c)

(112.82, 127.38)

d)

(114.56, 125.64)

3.

A person selects a random sample of 15 credit cards and determines the annual interest rate, in percent, of each one. The sample mean is 12.42 with a sample standard deviation of 1.3. It is desired to construct a 90% Confidence Interval.


Find the Standard Error to three decimal places.

a)

0.336

b)

0.33566

c)

13.156

d)

0.087

4.

A quality control inspector will measure the salt content (in milligrams) in a random sample of bags of potato chips from an hour of production. Which of the following would result in the smallest margin of error in estimating the mean salt content μ?

a)

90% confidence; n = 25

b)

90% confidence; n = 50

c)

95% confidence; n = 25

d)

95% confidence; n = 50

e)

n=100 at any confidence level

5.

A research group wishes to estimate the mean amount of time (in hours) that members of a fitness center spend exercising each week. They want to estimate the mean within a margin of error of 0.5 hours with a 95% level of confidence. Previous data suggests that the standard deviation of the population is 2.2. Which of the following is the smallest sample size they could use?

a)

60

b)

75

c)

90

d)

180

6.

Which of the following would result in a smaller minimum sample size?

a)

Increasing the confidence level

b)

Not having a preliminary estimate for p-hat

c)

Decreasing the confidence level

d)

Decreasing the margin of error

7.

A research group wishes to estimate the mean amount of time (in hours) that members of a fitness center spend exercising each week. They want to estimate the mean within a margin of error of 0.5 hours with a 95% level of confidence. Previous data suggests that the standard deviation of the population is 2.2. Which of the following is the smallest sample size they could use?

a)

60

b)

75

c)

90

d)

180

8.

In a recent poll of 803 randomly selected baseball fans in Connecticut, 44% said their favorite team was the Yankees. If researchers wanted to reduce the margin of error to at most 2%, how many baseball fans do they have to randomly select? Use 95% confidence

a)

1564

b)

2367

c)

803

d)

3170

9.

To achieve a narrower confidence interval for a given confidence level, one should:

a)

Increase the sample size.

b)

Decrease the sample size.

c)

Increase the standard deviation.

d)

Decrease the confidence level.

10.

What happens to the margin of error if the sample size is quadrupled, all else being equal?

a)

It is halved.

b)

It is doubled.

c)

It remains the same.

d)

It is quadrupled.

11.

A research company wants to estimate the proportion of people who like oatmeal. They want the confidence level to be 95%. The company gets 325 people to sign up for the survey, but on the day that the survey is issued, only 250 people show up and take the survey. What happens to the confidence interval?

a)

It stays the same

b)

It gets narrower

c)

It gets wider

d)

Not enough information

12.

Increasing the sample size __________ the confidence interval. 

a)

increases

b)

decreases

c)

does not affect

d)

there is not enough evidence to determine the answer

13.

To decrease the margin of error in a confidence interval, you should:

a)

Increase the confidence level

b)

Decrease the sample size

c)

Increase the sample size

d)

Decrease the confidence level

14.

A preliminary study suggests that 17% of people agree on an issue. How large must your sample size be so you could be within ± 5% with 95% confidence?

a)

217

b)

30

c)

385

d)

152

15.

In a recent poll of 803 randomly selected baseball fans in Connecticut, 44% said their favorite team was the Yankees. If researchers wanted to reduce the margin of error to at most 2%, how many baseball fans do they have to randomly select fir a 95% confidence interval?(Note: p-hat is estimated to be .44)

a)

1564

b)

2367

c)

803

d)

3170

16.

You are given two sets of data measuring the same information, both with the same sample size. Set A has a larger Standard Error than Set B. If you were looking for a 99.8% Confidence Interval, which set would have a larger Margin of Error?

a)

Set A

b)

Set B

c)

Not enough information

d)

I have no idea what you're asking me to do

17.

A large sample has mean of 7.1 and Standard Error of 2.3.


Construct a 90% Confidence Interval for the population mean µ (to two decimal places).

a)

(3.32, 10.88)

b)

(3.8, 7.1)

c)

(3.3, 10.9)

d)

(3.3165, 10.8835)

18.

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 Margin of Error to two decimal places.

a)

1.90

b)

1.89

c)

1.899

d)

1.99

19.

Which of the following changes to a study would result in a narrower confidence interval?

a)

increasing the confidence level, increasing the sample size

b)

decreasing the confidence level, decreasing the sample size

c)

increasing the confidence level, decreasing the sample size

d)

decreasing the confidence level, increasing the sample size.

20.

A survey of 800 women shoppers found that 17% of them shop on impulse.  What is the 98% confidence interval for the true proportion of women shoppers who shop on impulse? 

a)

0.148 < p < 0.192

b)

0.136 < p < 0.204

c)

0.144 < p < 0.196

d)

0.139 < p < 0.201