QMB3200 Exam 1 Complete Questions with 100% Correct Answers
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Module
QMB3200
Institution
QMB3200
QMB3200 Exam 1 Complete Questions with 100% Correct Answers
A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation of the contents (i.e., of the population) is .22 ounces. In this problem, the value .22 ounces is:
a parameter
For ...
QMB3200 Exam 1 Complete Questions with 100% Correct
Answers
A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the
standard deviation of the contents (i.e., of the population) is .22 ounces. In this problem, the value .22
ounces is:
a parameter
For a(n) _____ population, it is impossible to construct a sampling frame.
infinite
When drawing a sample from a population, the goal is for the sample to:
match the targeted population
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
A simple random sample of size n from a finite population of size N is a sample selected such that each
possible sample of size:
a. N has a probability of .1 of being selected.
b. n has a probability of .5 of being selected.
c. n has the same probability of being selected.
d. N has the same probability of being selected.
c. n has the same probability of being selected.
A simple random sample of size n from an infinite population is a sample selected such that:
each element has a probability of at least .5 of being selected.
The medical director of a company looks at the medical records of all 50 employees and finds that the
mean systolic blood pressure for these employees is 126.07. The value of 126.07 is:
a parameter
parameter
A characteristic or constant factor, limit
Which of the following is a point estimator?
a. μ
b. p
c. s
d. σ
c. s
, The value of the _____ ________ is used to estimate the value of the population parameter.
sample statistics
Sample statistics, such as x̅ , s, or p̅, that provide the point estimate of the population parameter are
known as:
point estimators
The sample mean is the point estimator of:
μ.
The population we want to make inferences about is called the:
target population
The sample statistic characteristic s is the point estimator of:
σ
Which of these best describes a sampling distribution of a statistic?
a. It is the probability that the sample statistic equals the parameter of interest.
b. It is the probability distribution of the values of a statistic that are contained in all possible samples of
the same sample size.
c. It is the distribution of all of the statistics calculated from all possible samples of the same sample size.
d. It is the histogram of sample statistics from all possible samples of the same sample size.
c. It is the distribution of all of the statistics calculated from all possible samples of the same sample size.
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
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
how to get standard error
Divide the standard deviation by the square root of the sample size (n).
In a recent Gallup Poll, the decision was made to increase the size of its random sample of voters from
1500 people to about 4000 people. The purpose of this increase is to:
reduce the standard error of the estimate.
A sample of 92 observations is taken from an infinite population. The sampling distribution of is
approximately:
a. normal because is always approximately normally distributed.
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