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Qualified Medicare Beneficiary (QMB) 3200 Final Exam with All Questions and 100% Correct Answers
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Qualified Medicare Beneficiary (QMB) 3200 Final Exam with All Questions and 100% Correct Answers
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Name: Score:112 Multiple choice questions
Term 1 of 112
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:
eliminate all sampling errors completely.
increase the margin of error significantly.
reduce the standard error of the estimate.
ensure a biased sample representation.
Term 2 of 112
A simple random sample of 100 observations was taken from a large population. The sample
mean and the standard deviation were determined to be 80 and 12, respectively. The standard
error of the mean is:
12/ sqr rt 100= 1.2
12/ sqr rt 95= 1.2
.83 on z table= 0668
12/ sqr rt 100= 2.2
Term 3 of 112
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 statistic
a sample
a summary table
a parameter
,Term 4 of 112
In hypothesis testing, the tentative assumption about the population parameter is called:
correlation coefficient
alternative hypothesis
null hypothesis
research hypothesis
Term 5 of 112
The numerical value of the standard deviation can never be:
sampling distribution.
neutral
positive
negative
Term 6 of 112
Which of the following is a point estimator?
c. The standard deviation must be one.
s
Accept H0 when H0 is false
b. mean
Term 7 of 112
Sample statistics, such as x̅ , s, or p̅ , that provide the point estimate of the population
parameter are known as:
target population
parameter values
point estimators
sample statistic
,Term 8 of 112
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 statistic.
a summary table.
a parameter.
the median.
Term 9 of 112
The sampling distribution of p bar is the:
normal because of the central limit theorem.
random distribution of individual observations.
fixed value of the population proportion.
probability distribution of all possible values of the sample proportion.
Term 10 of 112
The distribution of values taken by a statistic in all possible samples of the same size from the
same population is called a:
control limit.
sample statistic
sampling distribution.
population.
, Term 11 of 112
Parameters are:
sample statistic
increase the sample size
numerical characteristics of a population
a parameter
Term 12 of 112
A sample of 66 observations will be taken from an infinite population. The population
proportion equals .12. The probability that the sample proportion will be less than .1768 is:
sqr rt .12(1-.12)/66= .87
answer: .92
sqr rt .13(1-.12)/66= .92
answer: .92
sqr rt .12(1-.12)/66= .92
answer: .92
sqr rt .12(1-.12)/61= .92
answer: .92
Term 13 of 112
A sample of 92 observations is taken from an infinite population. The sampling distribution of is
approximately:
uniform as all observations are equal.
binomial since it involves two outcomes.
skewed due to sample size.
normal because of the central limit theorem.
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