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UCF QMB 3200 Final Exam Completed Updated
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Version with All Questions and 100% Correct Answers
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Doubling the size of the sample will - ANSWER-reduce the standard error
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of the mean
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The sample mean is the point estimator of - ANSWER-U
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A simple random sample of size n from an infinite population of size N is to
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be selected. Each possible sample should have - ANSWER-the same
probability of being selected
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Which of the following statements regarding the sampling distribution of
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sample means is incorrect? - ANSWER-The standard deviation of the
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sampling distribution is the standard deviation of the population.
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A simple random sample of size n from an infinite population is a sample
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selected such that - ANSWER-each element is selected independently and
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is selected from the same population
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The fact that the sampling distribution of sample means can be
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approximated by a normal probability distribution whenever the sample size
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becomes large is based on the - ANSWER-central limit theorem.
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Cluster sampling is - ANSWER-a probability sampling method.
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The central limit theorem states that - ANSWER-if the sample size n is
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large, then the sampling distribution of the sample mean can be
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approximated by a normal distribution. sh
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The value of the _____ is used to estimate the value of the population
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parameter - ANSWER-sample statistic
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The sampling distribution of is the - ANSWER-probability distribution of all
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possible values of the sample proportion.
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Which of the following is not a symbol for a parameter? - ANSWER-S.
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The sample statistic characteristic s is the point estimator of - ANSWER-σ..
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UCF QMB 3200 Final Exam Completed Updated
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Version with All Questions and 100% Correct Answers
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The distribution of values taken by a statistic in all possible samples of the
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same size from the same population is called a - ANSWER-sampling
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distribution.
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Which of the following is a point estimator? - ANSWER-S.
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As a rule of thumb, the sampling distribution of the sample proportion can
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be approximated by a normal probability distribution when - ANSWER-n(1 -
p) ≥ 5 and np ≥ 5.
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A sample of 92 observations is taken from an infinite population. The
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sampling distribution of is approximately - ANSWER-normal because of the
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central limit theorem.
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The central limit theorem is important in Statistics because it enables
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reasonably accurate probabilities to be determined for events involving the
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sample average - ANSWER-when the sample size is large regardless of
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the distribution of the variable.
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Sp
The distribution of values taken by a statistic in all possible samples of the
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same size from the same population is the sampling distribution of -
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ANSWER-The sample
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Which of these best describes a sampling distribution of a statistic? -
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ANSWER-It is the distribution of all of the statistics calculated from all
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possible samples of the same sample size.
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The probability distribution of all possible values of the sample proportion is
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the - ANSWER-sampling distribution of p.
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For a fixed confidence level and population standard deviation, if we would
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like to cut our margin of error in half, we should take a sample size that is -
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ANSWER-four times as large as the original sample size.
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We can reduce the margin of error in an interval estimate of p by doing any
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of the following except - ANSWER-increasing the planning value p* to .5.
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UCF QMB 3200 Final Exam Completed Updated
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Version with All Questions and 100% Correct Answers
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When computing the sample size needed to estimate a proportion within a
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given margin of error for a specific confidence level, what planning value of
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p should be used when no estimate of p is available? - ANSWER-0.50
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A statistics teacher started class one day by drawing the names of 10
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students out of a hat and asked them to do as many pushups as they
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could. The 10 randomly selected students averaged 15 pushups per
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person with a standard deviation of 9 pushups. Suppose the distribution of
the population of number of pushups that can be done is approximately
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normal. Which of the following statements is true? - ANSWER-A t
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distribution should be used because σ is unknown.
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The z value for a 99% confidence interval estimation is - ANSWER-2.58
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In an interval estimation for a proportion of a population, the critical value of
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z at 99% confidence is - ANSWER-2.576.
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In interval estimation, as the sample size becomes larger, the interval
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estimate - ANSWER-becomes narrower.In general, higher confidence
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levels provide larger confidence intervals.
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One way to have high confidence and a small margin of error is to -
ANSWER-increase the sample size.
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From a population that is normally distributed, a sample of 30 elements is
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selected and the standard deviation of the sample is computed. For the
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interval estimation of μ, the proper distribution to use is the - ANSWER-t
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Sp
distribution with 29 degrees of freedom.
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la
As the number of degrees of freedom for a t distribution increases, the
difference between the t distribution and the standard normal distribution -
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Sp
ANSWER-becomes smaller.
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a
The value added and subtracted from a point estimate in order to develop
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an interval estimate of the population parameter is known as the -
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sh
Sp
ANSWER-margin of error.
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la
sh
Sp
la
Sp
UCF QMB 3200 Final Exam Completed Updated
sh
Version with All Questions and 100% Correct Answers
ne
la
tz
Doubling the size of the sample will - ANSWER-reduce the standard error
sh
of the mean
Sp
ne
The sample mean is the point estimator of - ANSWER-U
la
sh
A simple random sample of size n from an infinite population of size N is to
Sp
ne
be selected. Each possible sample should have - ANSWER-the same
probability of being selected
la
tz
sh
Which of the following statements regarding the sampling distribution of
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sample means is incorrect? - ANSWER-The standard deviation of the
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sampling distribution is the standard deviation of the population.
la
sh
A simple random sample of size n from an infinite population is a sample
Sp
selected such that - ANSWER-each element is selected independently and
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is selected from the same population
la
tz
sh
The fact that the sampling distribution of sample means can be
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approximated by a normal probability distribution whenever the sample size
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becomes large is based on the - ANSWER-central limit theorem.
la
Cluster sampling is - ANSWER-a probability sampling method.
sh
Sp
ne
The central limit theorem states that - ANSWER-if the sample size n is
la
large, then the sampling distribution of the sample mean can be
tz
approximated by a normal distribution. sh
Sp
ne
The value of the _____ is used to estimate the value of the population
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parameter - ANSWER-sample statistic
sh
Sp
The sampling distribution of is the - ANSWER-probability distribution of all
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possible values of the sample proportion.
a
tz
Which of the following is not a symbol for a parameter? - ANSWER-S.
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sh
Sp
ne
The sample statistic characteristic s is the point estimator of - ANSWER-σ..
la
sh
Sp
la
Sp
, ne
UCF QMB 3200 Final Exam Completed Updated
sh
Version with All Questions and 100% Correct Answers
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The distribution of values taken by a statistic in all possible samples of the
la
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same size from the same population is called a - ANSWER-sampling
sh
distribution.
Sp
ne
Which of the following is a point estimator? - ANSWER-S.
la
sh
As a rule of thumb, the sampling distribution of the sample proportion can
Sp
ne
be approximated by a normal probability distribution when - ANSWER-n(1 -
p) ≥ 5 and np ≥ 5.
la
tz
sh
A sample of 92 observations is taken from an infinite population. The
Sp
sampling distribution of is approximately - ANSWER-normal because of the
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central limit theorem.
la
sh
The central limit theorem is important in Statistics because it enables
Sp
reasonably accurate probabilities to be determined for events involving the
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sample average - ANSWER-when the sample size is large regardless of
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the distribution of the variable.
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sh
Sp
The distribution of values taken by a statistic in all possible samples of the
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same size from the same population is the sampling distribution of -
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ANSWER-The sample
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Sp
Which of these best describes a sampling distribution of a statistic? -
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ANSWER-It is the distribution of all of the statistics calculated from all
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possible samples of the same sample size.
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sh
Sp
The probability distribution of all possible values of the sample proportion is
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the - ANSWER-sampling distribution of p.
la
For a fixed confidence level and population standard deviation, if we would
sh
Sp
like to cut our margin of error in half, we should take a sample size that is -
ne
ANSWER-four times as large as the original sample size.
a
tz
We can reduce the margin of error in an interval estimate of p by doing any
l
sh
Sp
of the following except - ANSWER-increasing the planning value p* to .5.
ne
la
sh
Sp
la
Sp
, ne
UCF QMB 3200 Final Exam Completed Updated
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Version with All Questions and 100% Correct Answers
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When computing the sample size needed to estimate a proportion within a
la
tz
given margin of error for a specific confidence level, what planning value of
sh
p should be used when no estimate of p is available? - ANSWER-0.50
Sp
ne
A statistics teacher started class one day by drawing the names of 10
la
students out of a hat and asked them to do as many pushups as they
sh
could. The 10 randomly selected students averaged 15 pushups per
Sp
ne
person with a standard deviation of 9 pushups. Suppose the distribution of
the population of number of pushups that can be done is approximately
la
normal. Which of the following statements is true? - ANSWER-A t
tz
sh
distribution should be used because σ is unknown.
Sp
ne
The z value for a 99% confidence interval estimation is - ANSWER-2.58
la
sh
In an interval estimation for a proportion of a population, the critical value of
Sp
z at 99% confidence is - ANSWER-2.576.
ne
la
In interval estimation, as the sample size becomes larger, the interval
tz
sh
estimate - ANSWER-becomes narrower.In general, higher confidence
Sp
levels provide larger confidence intervals.
ne
la
One way to have high confidence and a small margin of error is to -
ANSWER-increase the sample size.
sh
Sp
ne
From a population that is normally distributed, a sample of 30 elements is
la
selected and the standard deviation of the sample is computed. For the
tz
interval estimation of μ, the proper distribution to use is the - ANSWER-t
sh
Sp
distribution with 29 degrees of freedom.
ne
la
As the number of degrees of freedom for a t distribution increases, the
difference between the t distribution and the standard normal distribution -
sh
Sp
ANSWER-becomes smaller.
ne
a
The value added and subtracted from a point estimate in order to develop
tz
an interval estimate of the population parameter is known as the -
l
sh
Sp
ANSWER-margin of error.
ne
la
sh
Sp
la
Sp
