UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
Doubling the size of the sample will -
correct answer ✅reduce the standard error of the mean
The sample mean is the point estimator of -
correct answer ✅U
A simple random sample of size n from an infinite population of size
N is to be selected. Each possible sample should have -
correct answer ✅the same probability of being selected
Which of the following statements regarding the sampling
distribution of sample means is incorrect? -
correct answer ✅The standard deviation of the sampling
distribution is the standard deviation of the population.
A simple random sample of size n from an infinite population is a
sample selected such that -
correct answer ✅each element is selected independently and is
selected from the same population
The fact that the sampling distribution of sample means can be
approximated by a normal probability distribution whenever the
,UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
sample size becomes large is based on the -
correct answer ✅central limit theorem.
Cluster sampling is -
correct answer ✅a probability sampling method.
The central limit theorem states that -
correct answer ✅if the sample size n is large, then the sampling
distribution of the sample mean can be approximated by a normal
distribution.
The value of the _____ is used to estimate the value of the
population parameter -
correct answer ✅sample statistic
The sampling distribution of is the -
correct answer ✅probability distribution of all possible values of
the sample proportion.
Which of the following is not a symbol for a parameter? -
correct answer ✅S.
,UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
The sample statistic characteristic s is the point estimator of -
correct answer ✅σ..
The distribution of values taken by a statistic in all possible samples
of the same size from the same population is called a -
correct answer ✅sampling distribution.
Which of the following is a point estimator? -
correct answer ✅S.
As a rule of thumb, the sampling distribution of the sample
proportion can be approximated by a normal probability
distribution when -
correct answer ✅n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observations is taken from an infinite population.
The sampling distribution of is approximately -
correct answer ✅normal because of the central limit theorem.
The central limit theorem is important in Statistics because it
enables reasonably accurate probabilities to be determined for
events involving the sample average -
, UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
correct answer ✅when the sample size is large regardless of the
distribution of the variable.
The distribution of values taken by a statistic in all possible samples
of the same size from the same population is the sampling
distribution of -
correct answer ✅The sample
Which of these best describes a sampling distribution of a statistic?
-
correct answer ✅It is the distribution of all of the statistics
calculated from all possible samples of the same sample size.
The probability distribution of all possible values of the sample
proportion is the -
correct answer ✅sampling distribution of p.
For a fixed confidence level and population standard deviation, if
we would like to cut our margin of error in half, we should take a
sample size that is -
correct answer ✅four times as large as the original sample size.
With 100% Verified Answers
Doubling the size of the sample will -
correct answer ✅reduce the standard error of the mean
The sample mean is the point estimator of -
correct answer ✅U
A simple random sample of size n from an infinite population of size
N is to be selected. Each possible sample should have -
correct answer ✅the same probability of being selected
Which of the following statements regarding the sampling
distribution of sample means is incorrect? -
correct answer ✅The standard deviation of the sampling
distribution is the standard deviation of the population.
A simple random sample of size n from an infinite population is a
sample selected such that -
correct answer ✅each element is selected independently and is
selected from the same population
The fact that the sampling distribution of sample means can be
approximated by a normal probability distribution whenever the
,UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
sample size becomes large is based on the -
correct answer ✅central limit theorem.
Cluster sampling is -
correct answer ✅a probability sampling method.
The central limit theorem states that -
correct answer ✅if the sample size n is large, then the sampling
distribution of the sample mean can be approximated by a normal
distribution.
The value of the _____ is used to estimate the value of the
population parameter -
correct answer ✅sample statistic
The sampling distribution of is the -
correct answer ✅probability distribution of all possible values of
the sample proportion.
Which of the following is not a symbol for a parameter? -
correct answer ✅S.
,UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
The sample statistic characteristic s is the point estimator of -
correct answer ✅σ..
The distribution of values taken by a statistic in all possible samples
of the same size from the same population is called a -
correct answer ✅sampling distribution.
Which of the following is a point estimator? -
correct answer ✅S.
As a rule of thumb, the sampling distribution of the sample
proportion can be approximated by a normal probability
distribution when -
correct answer ✅n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observations is taken from an infinite population.
The sampling distribution of is approximately -
correct answer ✅normal because of the central limit theorem.
The central limit theorem is important in Statistics because it
enables reasonably accurate probabilities to be determined for
events involving the sample average -
, UCF QMB 3200 Final Exam Questions
With 100% Verified Answers
correct answer ✅when the sample size is large regardless of the
distribution of the variable.
The distribution of values taken by a statistic in all possible samples
of the same size from the same population is the sampling
distribution of -
correct answer ✅The sample
Which of these best describes a sampling distribution of a statistic?
-
correct answer ✅It is the distribution of all of the statistics
calculated from all possible samples of the same sample size.
The probability distribution of all possible values of the sample
proportion is the -
correct answer ✅sampling distribution of p.
For a fixed confidence level and population standard deviation, if
we would like to cut our margin of error in half, we should take a
sample size that is -
correct answer ✅four times as large as the original sample size.
