UCF QMB 3200 Final Exam Questions With Answers 100% Correct
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Course
QMB 3200
Institution
QMB 3200
UCF QMB 3200 Final Exam Questions With
Answers 100% Correct
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...
UCF QMB 3200 Final Exam Questions With
Answers 100% Correct
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.
, UCF QMB 3200 Final Exam Questions With
Answers 100% Correct
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.
, UCF QMB 3200 Final Exam Questions With
Answers 100% Correct
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.
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
, UCF QMB 3200 Final Exam Questions With
Answers 100% Correct
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.
One way to have high confidence and a small margin of error is to increase the sample
size.
From a population that is normally distributed, a sample of 30 elements is selected and the
standard deviation of the sample is computed. For the interval estimation of μ, the proper
distribution to use is the t distribution with 29 degrees of freedom.
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