UCF QMB 3200 Final Exam/ QMB 3200 Final Exam 2
SETS COMPILED TOGETHER NEWEST RATED A+
Doubling the size of the sample will - Ans reduce the standard error of the mean
The sample mean is the point es mator of - Ans U
A simple random sample of size n from an infinite popula on of size N is to be selected. Each
possible sample should have - Ans the same probability of being selected
Which of the following statements regarding the sampling distribu on of sample means is
incorrect? - Ans The standard devia on of the sampling distribu on is the standard devia on of
the popula on.
A simple random sample of size n from an infinite popula on is a sample selected such that -
Ans each element is selected independently and is selected from the same popula on
The fact that the sampling distribu on of sample means can be approximated by a normal
probability distribu on whenever the sample size becomes large is based on the - Ans central
limit theorem.
Cluster sampling is - Ans a probability sampling method.
The central limit theorem states that - Ans if the sample size n is large, then the sampling
distribu on of the sample mean can be approximated by a normal distribu on.
The value of the _____ is used to es mate the value of the popula on parameter - Ans sample
sta s c
,The sampling distribu on of is the - Ans probability distribu on of all possible values of the
sample propor on.
Which of the following is not a symbol for a parameter? - Ans S.
The sample sta s c characteris c s is the point es mator of - Ans σ..
The distribu on of values taken by a sta s c in all possible samples of the same size from the
same popula on is called a - Ans sampling distribu on.
Which of the following is a point es mator? - Ans S.
As a rule of thumb, the sampling distribu on of the sample propor on can be approximated by a
normal probability distribu on when - Ans n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observa ons is taken from an infinite popula on. The sampling distribu on of is
approximately - Ans normal because of the central limit theorem.
The central limit theorem is important in Sta s cs because it enables reasonably accurate
probabili es to be determined for events involving the sample average - Ans when the sample
size is large regardless of the distribu on of the variable.
The distribu on of values taken by a sta s c in all possible samples of the same size from the
same popula on is the sampling distribu on of - Ans The sample
Which of these best describes a sampling distribu on of a sta s c? - Ans It is the distribu on of
all of the sta s cs calculated from all possible samples of the same sample size.
,The probability distribu on of all possible values of the sample propor on is the - Ans sampling
distribu on of p.
For a fixed confidence level and popula on standard devia on, if we would like to cut our
margin of error in half, we should take a sample size that is - Ans four mes as large as the
original sample size.
We can reduce the margin of error in an interval es mate of p by doing any of the following
except - Ans increasing the planning value p* to .5.
When compu ng the sample size needed to es mate a propor on within a given margin of error
for a specific confidence level, what planning value of p should be used when no es mate of p is
available? - Ans 0.50
A sta s cs 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 devia on of 9 pushups. Suppose the distribu on of the
popula on of number of pushups that can be done is approximately normal. Which of the
following statements is true? - Ans A t distribu on should be used because σ is unknown.
The z value for a 99% confidence interval es ma on is - Ans 2.58
In an interval es ma on for a propor on of a popula on, the cri cal value of z at 99% confidence is
- Ans 2.576.
In interval es ma on, as the sample size becomes larger, the interval es mate - Ans 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 - Ans increase the sample
size.
, From a popula on that is normally distributed, a sample of 30 elements is selected and the
standard devia on of the sample is computed. For the interval es ma on of μ, the proper distribu
on to use is the - Ans t distribu on with 29 degrees of freedom.
As the number of degrees of freedom for a t distribu on increases, the difference between the t
distribu on and the standard normal distribu on - Ans becomes smaller.
The value added and subtracted from a point es mate in order to develop an interval es mate of
the popula on parameter is known as the - Ans margin of error.
What is the symbol for the popula on mean? If the popula on follows a normal distribu on, the
confidence interval is _____ and can be used for any sample size. If the popula on does not
follow a normal distribu on, the confidence interval will be _____. Which of the following
choices correctly complete this statement? - Ans exact; approximate.
The t value for a 99% confidence interval es ma on based upon a sample of size 10 is - Ans
3.250.
To compute the necessary sample size for an interval es mate of a popula on propor on, all of
the following procedures are recommended when p is unknown except - Ans using .95 as an es
mate.
Using an α = .04, a confidence interval for a popula on propor on is determined to be .65 to .75.
If the level of significance is decreased, the interval for the popula on propor on - Ans becomes
wider.
For a fixed confidence level and popula on standard devia on, if we would like to cut our margin
of error to 1/3 of the original size, we should take a sample size that is - Ans nine mes as large
as the original sample size.
The sampling distribu on of can be approximated by a normal distribu on as long as - Ans np>
5 and n(1-p)>5 greater or equals.
SETS COMPILED TOGETHER NEWEST RATED A+
Doubling the size of the sample will - Ans reduce the standard error of the mean
The sample mean is the point es mator of - Ans U
A simple random sample of size n from an infinite popula on of size N is to be selected. Each
possible sample should have - Ans the same probability of being selected
Which of the following statements regarding the sampling distribu on of sample means is
incorrect? - Ans The standard devia on of the sampling distribu on is the standard devia on of
the popula on.
A simple random sample of size n from an infinite popula on is a sample selected such that -
Ans each element is selected independently and is selected from the same popula on
The fact that the sampling distribu on of sample means can be approximated by a normal
probability distribu on whenever the sample size becomes large is based on the - Ans central
limit theorem.
Cluster sampling is - Ans a probability sampling method.
The central limit theorem states that - Ans if the sample size n is large, then the sampling
distribu on of the sample mean can be approximated by a normal distribu on.
The value of the _____ is used to es mate the value of the popula on parameter - Ans sample
sta s c
,The sampling distribu on of is the - Ans probability distribu on of all possible values of the
sample propor on.
Which of the following is not a symbol for a parameter? - Ans S.
The sample sta s c characteris c s is the point es mator of - Ans σ..
The distribu on of values taken by a sta s c in all possible samples of the same size from the
same popula on is called a - Ans sampling distribu on.
Which of the following is a point es mator? - Ans S.
As a rule of thumb, the sampling distribu on of the sample propor on can be approximated by a
normal probability distribu on when - Ans n(1 - p) ≥ 5 and np ≥ 5.
A sample of 92 observa ons is taken from an infinite popula on. The sampling distribu on of is
approximately - Ans normal because of the central limit theorem.
The central limit theorem is important in Sta s cs because it enables reasonably accurate
probabili es to be determined for events involving the sample average - Ans when the sample
size is large regardless of the distribu on of the variable.
The distribu on of values taken by a sta s c in all possible samples of the same size from the
same popula on is the sampling distribu on of - Ans The sample
Which of these best describes a sampling distribu on of a sta s c? - Ans It is the distribu on of
all of the sta s cs calculated from all possible samples of the same sample size.
,The probability distribu on of all possible values of the sample propor on is the - Ans sampling
distribu on of p.
For a fixed confidence level and popula on standard devia on, if we would like to cut our
margin of error in half, we should take a sample size that is - Ans four mes as large as the
original sample size.
We can reduce the margin of error in an interval es mate of p by doing any of the following
except - Ans increasing the planning value p* to .5.
When compu ng the sample size needed to es mate a propor on within a given margin of error
for a specific confidence level, what planning value of p should be used when no es mate of p is
available? - Ans 0.50
A sta s cs 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 devia on of 9 pushups. Suppose the distribu on of the
popula on of number of pushups that can be done is approximately normal. Which of the
following statements is true? - Ans A t distribu on should be used because σ is unknown.
The z value for a 99% confidence interval es ma on is - Ans 2.58
In an interval es ma on for a propor on of a popula on, the cri cal value of z at 99% confidence is
- Ans 2.576.
In interval es ma on, as the sample size becomes larger, the interval es mate - Ans 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 - Ans increase the sample
size.
, From a popula on that is normally distributed, a sample of 30 elements is selected and the
standard devia on of the sample is computed. For the interval es ma on of μ, the proper distribu
on to use is the - Ans t distribu on with 29 degrees of freedom.
As the number of degrees of freedom for a t distribu on increases, the difference between the t
distribu on and the standard normal distribu on - Ans becomes smaller.
The value added and subtracted from a point es mate in order to develop an interval es mate of
the popula on parameter is known as the - Ans margin of error.
What is the symbol for the popula on mean? If the popula on follows a normal distribu on, the
confidence interval is _____ and can be used for any sample size. If the popula on does not
follow a normal distribu on, the confidence interval will be _____. Which of the following
choices correctly complete this statement? - Ans exact; approximate.
The t value for a 99% confidence interval es ma on based upon a sample of size 10 is - Ans
3.250.
To compute the necessary sample size for an interval es mate of a popula on propor on, all of
the following procedures are recommended when p is unknown except - Ans using .95 as an es
mate.
Using an α = .04, a confidence interval for a popula on propor on is determined to be .65 to .75.
If the level of significance is decreased, the interval for the popula on propor on - Ans becomes
wider.
For a fixed confidence level and popula on standard devia on, if we would like to cut our margin
of error to 1/3 of the original size, we should take a sample size that is - Ans nine mes as large
as the original sample size.
The sampling distribu on of can be approximated by a normal distribu on as long as - Ans np>
5 and n(1-p)>5 greater or equals.
