UCF QMB 3200 FINAL EXAM
Doubling the size of the sample will - CORRECT REPLY>>> -reduce
the standard error of the mean
The sample mean is the point estimator of - CORRECT REPLY>>> -
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 REPLY>>>
-the same probability of being selected
Which of the following statements regarding the sampling distribution of
sample means is incorrect? - CORRECT REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -central limit theorem.
,Cluster sampling is - CORRECT REPLY>>> -a probability sampling
method.
The central limit theorem states that - CORRECT REPLY>>> -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 REPLY>>> -sample statistic
The sampling distribution of is the - CORRECT REPLY>>> -
probability distribution of all possible values of the sample proportion.
Which of the following is not a symbol for a parameter? - CORRECT
REPLY>>> -S.
The sample statistic characteristic s is the point estimator of - CORRECT
REPLY>>> -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
REPLY>>> -sampling distribution.
Which of the following is a point estimator? - CORRECT REPLY>>>
-S.
As a rule of thumb, the sampling distribution of the sample proportion can be
approximated by a normal probability distribution when - CORRECT
REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -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 REPLY>>> -The sample
, Which of these best describes a sampling distribution of a statistic? -
CORRECT REPLY>>> -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 REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -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? - CORRECT
REPLY>>> -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
Doubling the size of the sample will - CORRECT REPLY>>> -reduce
the standard error of the mean
The sample mean is the point estimator of - CORRECT REPLY>>> -
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 REPLY>>>
-the same probability of being selected
Which of the following statements regarding the sampling distribution of
sample means is incorrect? - CORRECT REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -central limit theorem.
,Cluster sampling is - CORRECT REPLY>>> -a probability sampling
method.
The central limit theorem states that - CORRECT REPLY>>> -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 REPLY>>> -sample statistic
The sampling distribution of is the - CORRECT REPLY>>> -
probability distribution of all possible values of the sample proportion.
Which of the following is not a symbol for a parameter? - CORRECT
REPLY>>> -S.
The sample statistic characteristic s is the point estimator of - CORRECT
REPLY>>> -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
REPLY>>> -sampling distribution.
Which of the following is a point estimator? - CORRECT REPLY>>>
-S.
As a rule of thumb, the sampling distribution of the sample proportion can be
approximated by a normal probability distribution when - CORRECT
REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -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 REPLY>>> -The sample
, Which of these best describes a sampling distribution of a statistic? -
CORRECT REPLY>>> -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 REPLY>>> -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 REPLY>>> -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 - CORRECT REPLY>>> -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? - CORRECT
REPLY>>> -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
