1. Solve the problem.
The Central Limit Theorem is considered
powerful in statistics because __________.
A. it works for any population distribution provided the population mean i
B. it works for any sample provided the population distribution is known
C. it works for any sample size provided the population is normal
D. it works for any population distribution provided the sample size is suf
Points Earned: 1/1
Correct Answer: D
Your Response: D
2. Answer the question True or False.
When estimating the population mean, the sample mean is always a
better estimate than the sample median.
A. True
B. False
Points Earned: 0/1
Co B
rre
ct
An
sw
er:
Yo A
ur
Re
sp
on
se:
Hypothesis testing: General Questions
3. Suppose the 95% confidence interval for µ is
calculated as (130, 300). To make more useful
inferences from the data, it is desired to reduce the
width of the confidence interval.
, Which of the following will result in a reduced
interval width? That is which will result in a narrower
confidence interval?
A. Increase the sample size
B. Increase the sample size and decrease the confidence level
C. Decrease the confidence level
D. All of the above
Points 0/1
Earned:
Co D
rre
ct
An
sw
er:
Yo A
ur
Re
sp
on
se:
Chapter 19 Definitions
4. Which is true about a 99% confidence
interval based on a given sample?
I. The interval contains 99% of the
population.
II. Results from 99% of all samples will
lie in this interval.
III. The interval is wider than a 95%
confidence interval would be.
A. III only
B. None
C. I only
D. II only
E. II and III only
Points 0/1
, Earned:
Correct Answer: A
Your Response: D
5. Provide an appropriate response.
In a survey of 1,000 television viewers, 40% said they
watch network news programs. For a 90%
confidence level, the margin of error for this estimate
is 2.5%. If we want to be 95% confident, how will the
margin of error change?
A. Since more confidence requires a more narrow interval, the marg
B. Since more confidence requires a wider interval, the margin of err
C. Since more confidence requires a wider interval, the margin of err
D. Since more confidence requires a more narrow interval, the marg
E. There is not enough information to determine the effect on the ma
Points Earned: 1/1
Co B
rre
ct
An
sw
er:
Yo B
ur
Re
sp
on
se:
Chapter 19 Confidence Interval conditions/assumptions
6. Which of the following criteria is not required to find a
confidence interval for the population proportion?
A. The sample size must be less than 10% of the population size.
B. The data must come from a random sample.
C. The sample must be nearly normal.
D. The data values must be independent.
, E. All of the above criteria are required.
Points Earned: 1/1
Co C
rre
ct
An
sw
er:
Yo C
ur
Re
sp
on
se:
Chapter 18/19: Definitions Parameters, Statistics
7. This question is a review of material covered in
Chapter 12. We are reviewing it since we are
beginning the study of inferential statistics.
Match the following definitions.
1. population parameter of interest4. proponents
2. statistics 5. target population
3. parameters 6. subsets
A. Numerical attributes of a population are called
B. Numerical attributes calculated from a sample are called
C. The attribute we wish to estimate by taking a sample is called
Points Earned: 3/3
Co A:3, B:2, C:1
rre
ct
An
sw
er:
Yo A:3, B:2, C:1
ur
Re
The Central Limit Theorem is considered
powerful in statistics because __________.
A. it works for any population distribution provided the population mean i
B. it works for any sample provided the population distribution is known
C. it works for any sample size provided the population is normal
D. it works for any population distribution provided the sample size is suf
Points Earned: 1/1
Correct Answer: D
Your Response: D
2. Answer the question True or False.
When estimating the population mean, the sample mean is always a
better estimate than the sample median.
A. True
B. False
Points Earned: 0/1
Co B
rre
ct
An
sw
er:
Yo A
ur
Re
sp
on
se:
Hypothesis testing: General Questions
3. Suppose the 95% confidence interval for µ is
calculated as (130, 300). To make more useful
inferences from the data, it is desired to reduce the
width of the confidence interval.
, Which of the following will result in a reduced
interval width? That is which will result in a narrower
confidence interval?
A. Increase the sample size
B. Increase the sample size and decrease the confidence level
C. Decrease the confidence level
D. All of the above
Points 0/1
Earned:
Co D
rre
ct
An
sw
er:
Yo A
ur
Re
sp
on
se:
Chapter 19 Definitions
4. Which is true about a 99% confidence
interval based on a given sample?
I. The interval contains 99% of the
population.
II. Results from 99% of all samples will
lie in this interval.
III. The interval is wider than a 95%
confidence interval would be.
A. III only
B. None
C. I only
D. II only
E. II and III only
Points 0/1
, Earned:
Correct Answer: A
Your Response: D
5. Provide an appropriate response.
In a survey of 1,000 television viewers, 40% said they
watch network news programs. For a 90%
confidence level, the margin of error for this estimate
is 2.5%. If we want to be 95% confident, how will the
margin of error change?
A. Since more confidence requires a more narrow interval, the marg
B. Since more confidence requires a wider interval, the margin of err
C. Since more confidence requires a wider interval, the margin of err
D. Since more confidence requires a more narrow interval, the marg
E. There is not enough information to determine the effect on the ma
Points Earned: 1/1
Co B
rre
ct
An
sw
er:
Yo B
ur
Re
sp
on
se:
Chapter 19 Confidence Interval conditions/assumptions
6. Which of the following criteria is not required to find a
confidence interval for the population proportion?
A. The sample size must be less than 10% of the population size.
B. The data must come from a random sample.
C. The sample must be nearly normal.
D. The data values must be independent.
, E. All of the above criteria are required.
Points Earned: 1/1
Co C
rre
ct
An
sw
er:
Yo C
ur
Re
sp
on
se:
Chapter 18/19: Definitions Parameters, Statistics
7. This question is a review of material covered in
Chapter 12. We are reviewing it since we are
beginning the study of inferential statistics.
Match the following definitions.
1. population parameter of interest4. proponents
2. statistics 5. target population
3. parameters 6. subsets
A. Numerical attributes of a population are called
B. Numerical attributes calculated from a sample are called
C. The attribute we wish to estimate by taking a sample is called
Points Earned: 3/3
Co A:3, B:2, C:1
rre
ct
An
sw
er:
Yo A:3, B:2, C:1
ur
Re
