UCF QMB 3200 Final Exam Test With 100% Verified Answers
Doubling the size of the sample will - -reduce the standard error of the mean
Page | 1
The sample mean is the point estimator of - -U
A simple random sample of size n from an infinite population of size N is to be selected. Each
possible sample should have - -the same probability of being selected
Which of the following statements regarding the sampling distribution of sample means is
incorrect? - -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 -
-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 - -
central limit theorem.
Cluster sampling is - -a probability sampling method.
The central limit theorem states that - -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 - -
sample statistic
, The sampling distribution of is the - -probability distribution of all possible values of the
sample proportion.
Page | 2 Which of the following is not a symbol for a parameter? - -S.
The sample statistic characteristic s is the point estimator of - -σ..
The distribution of values taken by a statistic in all possible samples of the same size from the
same population is called a - -sampling distribution.
Which of the following is a point estimator? - -S.
As a rule of thumb, the sampling distribution of the sample proportion can be approximated by
a normal probability distribution when - -n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observations is taken from an infinite population. The sampling distribution of is
approximately - -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 - -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 - -The sample
Which of these best describes a sampling distribution of a statistic? - -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 - -
sampling distribution of p.
Page | 3
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 - -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 - -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? - -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? - -A t distribution should be used because σ is unknown.
The z value for a 99% confidence interval estimation is - -2.58
In an interval estimation for a proportion of a population, the critical value of z at 99%
confidence is - -2.576.
In interval estimation, as the sample size becomes larger, the interval estimate - -
becomes narrower.In general, higher confidence levels provide larger confidence intervals.
Doubling the size of the sample will - -reduce the standard error of the mean
Page | 1
The sample mean is the point estimator of - -U
A simple random sample of size n from an infinite population of size N is to be selected. Each
possible sample should have - -the same probability of being selected
Which of the following statements regarding the sampling distribution of sample means is
incorrect? - -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 -
-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 - -
central limit theorem.
Cluster sampling is - -a probability sampling method.
The central limit theorem states that - -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 - -
sample statistic
, The sampling distribution of is the - -probability distribution of all possible values of the
sample proportion.
Page | 2 Which of the following is not a symbol for a parameter? - -S.
The sample statistic characteristic s is the point estimator of - -σ..
The distribution of values taken by a statistic in all possible samples of the same size from the
same population is called a - -sampling distribution.
Which of the following is a point estimator? - -S.
As a rule of thumb, the sampling distribution of the sample proportion can be approximated by
a normal probability distribution when - -n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observations is taken from an infinite population. The sampling distribution of is
approximately - -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 - -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 - -The sample
Which of these best describes a sampling distribution of a statistic? - -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 - -
sampling distribution of p.
Page | 3
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 - -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 - -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? - -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? - -A t distribution should be used because σ is unknown.
The z value for a 99% confidence interval estimation is - -2.58
In an interval estimation for a proportion of a population, the critical value of z at 99%
confidence is - -2.576.
In interval estimation, as the sample size becomes larger, the interval estimate - -
becomes narrower.In general, higher confidence levels provide larger confidence intervals.
