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QMB Chapter 7 Test Prep
QMB Chapter 7 Test Prep
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Every concept from chapter 7!
Flashcards
32 cards
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Questions
32
Answers
1
The sample mean is the point estimator of:
π.
ρ.
μ.
σ.
2
Parameters are numerical characteristics of a population.
False
True
3
In a recent Gallup Poll, the decision was made to increase the size of its random sample of voters from 1500 people to a
reduce the standard error of the estimate.
increase the standard error of the estimate.
increase the confidence interval width for the parameter.
reduce the bias of the estimate.
4
A simple random sample of size
n
from an infinite population of size
N
is to be selected.Each possible sample should hav
a probability of 1/n of being selected.
a probability of 1/N of being selected.
a probability of N/n of being selected.
the same probability of being selected.
5
Which of the following is a nonprobability sampling technique?
Cluster sampling
Stratified random sampling
Simple random sampling
Judgment sampling
6
The sample statistic characteristic s is the point estimator of:
π.
μ.
σ.
ρ.
7
Convenience sampling is a:
nonprobability sampling technique.
stratified sampling technique.
probability sampling technique.
cluster sampling technique.
8
Which of the following is(are) true?
III only
II only
II and III
All answers are true.
9
The distribution of values taken by a statistic in all possible samples of the same size from the same population is the
the distribution.
the sample.
the population.
the target population.
10
Which of the following is not a symbol for a parameter?
σ
μ
ρ
s
11
As the sample size increases, the:
standard error of the mean increases.
population mean increases.
standard error of the mean decreases.
standard deviation of the population decreases.
12
Which of the following is a point estimator?
σ
s
p
μ
13
The standard deviation of a point estimator is called the:
standard deviation.
standard error.
variance of estimation.
point estimator.
14
Doubling the size of the sample will:
reduce the standard error of the mean.
have no effect on the standard error of the mean.
increase the standard error of the mean.
double the standard error of the mean
15
The distribution of values taken by a statistic in all possible samples of the same size from the same population is
sample parameter.
population parameter.
distribution of interest.
sampling distribution.
16
The mean of the sampling distribution is the mean of the population.
True
False
17
The population we want to make inferences about is called the:
sampled population.
frame.
finite population.
target population.
18
Sample statistics, such as
x̅
,
s
, or
p̅
, that provide the point estimate of the population parameter are known as:
population statistics.
point estimators.
target population.
parameter values.
19
A probability sampling method in which we randomly select one of the first k elements and then select every kth element
convenience sampling.
systematic sampling.
cluster sampling.
stratified random sampling.
20
When drawing a sample from a population, the goal is for the sample to:
be more varied than the targeted population.
be smaller than the targeted population.
match the targeted population.
include some of the targeted population.
21
A simple random sample of size
n
from a finite population of size
N
is a sample selected such that each possible sample
n has a probability of .5 of being selected.
N has a probability of .1 of being selected.
n has the same probability of being selected.
N has the same probability of being selected.
22
In stratified random sampling:
all elements within each of the strata form the sample.
randomly selected elements within each of the strata form the sample.
all elements within the randomly selected strata form the sample.
randomly selected elements within the randomly selected strata form the sam
23
The sampling distribution of (P-Bar) is the:
mean of the population.
mean of the sample.
probability distribution of all possible values of the sample proportion.
probability distribution of all possible values of the sample mean.
24
Cluster sampling is:
a probability sampling method.
the same as convenience sampling.
None of these alternatives is correct.
a nonprobability sampling method.
25
Bonus Points
D
A
B
C
26
The fact that the sampling distribution of sample means can be approximated by a normal probability distribution wheneve
assumption that the population has a normal distribution.
None of these alternatives is correct.
central limit theorem.
fact that we have tables of areas for the normal distribution.
27
A random sample of 121 bottles of cologne showed an average content of 4 ounces. It is known that the standard deviation
the average content of cologne in the long run.
a statistic.
the standard error of the mean.
a parameter.
28
A sample of 92 observations is taken from an infinite population. The sampling distribution of (x-bar) is approximately
normal because the sample size is small in comparison to the population siz
normal because of the central limit theorem.
normal because (x-bar) is always approximately normally distributed.
None of these alternatives is correct.
29
A simple random sample of size n from an infinite population is a sample selected such that:
ach element is selected independently and is selected from the same populat
he probability of being selected changes.
each element has a .5 probability of being selected.
each element has a probability of at least .5 of being selected.
30
The value of the _____ is used to estimate the value of the population parameter.
sample statistic
sample parameter
population estimate
population statistic
31
The standard deviation of the sampling distribution is the standard deviation of the population.
False
True
32
In a survey of public opinion concerning state aid to a particular city, every 40th person registered as a voter was int
systematic sampling.
stratified sampling.
cluster sampling.
simple random sampling.
