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UCF QMB 3200 Final Exam Questions And
Answers 100% Verified.
Doubling the size of the sample will - Answer✔✔reduce the standard error of the mean
The sample mean is the point estimator of - 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 - Answer✔✔the same probability of being selected
Which of the following statements regarding the sampling distribution of sample means is
incorrect? - 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 -
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 sample size becomes large is based on the -
Answer✔✔central limit theorem.
Cluster sampling is - Answer✔✔a probability sampling method.
The central limit theorem states that - 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 -
Answer✔✔sample statistic
The sampling distribution of is the - Answer✔✔probability distribution of all possible values of
the sample proportion.
Which of the following is not a symbol for a parameter? - Answer✔✔S.
The sample statistic characteristic s is the point estimator of - 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 - Answer✔✔sampling distribution.
Which of the following is a point estimator? - Answer✔✔S.
1
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As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a
normal probability distribution when - 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 - 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 - 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 - Answer✔✔The sample
Which of these best describes a sampling distribution of a statistic? - 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 -
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 - Answer✔✔four times as large as
the original sample size.
We can reduce the margin of error in an interval estimate of p by doing any of the following
except - Answer✔✔increasing the planning value p* to .5.
When computing the sample size needed to estimate a proportion within a given margin of error
for a specific confidence level, what planning value of p should be used when no estimate of p is
available? - Answer✔✔0.50
A statistics teacher started class one day by drawing the names of 10 students out of a hat and
asked them to do as many pushups as they could. The 10 randomly selected students averaged 15
pushups per person with a standard deviation of 9 pushups. Suppose the distribution of the
population of number of pushups that can be done is approximately normal. Which of the
following statements is true? - Answer✔✔A t distribution should be used because σ is unknown.
The z value for a 99% confidence interval estimation is - Answer✔✔2.58
In an interval estimation for a proportion of a population, the critical value of z at 99%
confidence is - Answer✔✔2.576.
In interval estimation, as the sample size becomes larger, the interval estimate -
Answer✔✔becomes narrower.In general, higher confidence levels provide larger confidence
intervals.
One way to have high confidence and a small margin of error is to - Answer✔✔increase the
sample size.
2
UCF QMB 3200 Final Exam Questions And
Answers 100% Verified.
Doubling the size of the sample will - Answer✔✔reduce the standard error of the mean
The sample mean is the point estimator of - 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 - Answer✔✔the same probability of being selected
Which of the following statements regarding the sampling distribution of sample means is
incorrect? - 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 -
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 sample size becomes large is based on the -
Answer✔✔central limit theorem.
Cluster sampling is - Answer✔✔a probability sampling method.
The central limit theorem states that - 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 -
Answer✔✔sample statistic
The sampling distribution of is the - Answer✔✔probability distribution of all possible values of
the sample proportion.
Which of the following is not a symbol for a parameter? - Answer✔✔S.
The sample statistic characteristic s is the point estimator of - 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 - Answer✔✔sampling distribution.
Which of the following is a point estimator? - Answer✔✔S.
1
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As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a
normal probability distribution when - 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 - 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 - 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 - Answer✔✔The sample
Which of these best describes a sampling distribution of a statistic? - 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 -
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 - Answer✔✔four times as large as
the original sample size.
We can reduce the margin of error in an interval estimate of p by doing any of the following
except - Answer✔✔increasing the planning value p* to .5.
When computing the sample size needed to estimate a proportion within a given margin of error
for a specific confidence level, what planning value of p should be used when no estimate of p is
available? - Answer✔✔0.50
A statistics teacher started class one day by drawing the names of 10 students out of a hat and
asked them to do as many pushups as they could. The 10 randomly selected students averaged 15
pushups per person with a standard deviation of 9 pushups. Suppose the distribution of the
population of number of pushups that can be done is approximately normal. Which of the
following statements is true? - Answer✔✔A t distribution should be used because σ is unknown.
The z value for a 99% confidence interval estimation is - Answer✔✔2.58
In an interval estimation for a proportion of a population, the critical value of z at 99%
confidence is - Answer✔✔2.576.
In interval estimation, as the sample size becomes larger, the interval estimate -
Answer✔✔becomes narrower.In general, higher confidence levels provide larger confidence
intervals.
One way to have high confidence and a small margin of error is to - Answer✔✔increase the
sample size.
2
