UCF QMB 3200 Final Exam Question and
Answers | Latest Update | Graded A+
Doubling the size of the sample will - ✔✔reduce the standard error of the
mean
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.
1
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
,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.
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.
2
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
,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.
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.
3
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
, 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.
4
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
Answers | Latest Update | Graded A+
Doubling the size of the sample will - ✔✔reduce the standard error of the
mean
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.
1
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
,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.
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.
2
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
,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.
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.
3
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
, 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.
4
©JOSHCLAY 2024/2025. YEAR PUBLISHED 2024.
