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Active Learning Lecture Slides
For use with Classroom Response Systems
Essential Statistics:
Exploring the World through Data, 1e
by Gould and Ryan
Chapter 7:
Survey Sampling and Inference
© 2013 Pearson Education, Inc.
Slide 7 - 1
True or False
A population is a group of objects or
people we wish to study.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 2
True or False
A population is a group of objects or
people we wish to study.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 3
A numerical value that characterizes some
aspect of a population is called a
A. statistic.
B. census.
C. parameter.
D. sample.
© 2013 Pearson Education, Inc.
Slide 7 - 4
A numerical value that characterizes some
aspect of a population is called a
A. statistic.
B. census.
C. parameter.
D. sample.
© 2013 Pearson Education, Inc.
Slide 7 - 5
A survey in which every member of the
population is measured is called a
A. statistic.
B. sample.
C. estimator.
D. census.
© 2013 Pearson Education, Inc.
Slide 7 - 6
A survey in which every member of the
population is measured is called a
A. statistic.
B. sample.
C. estimator.
D. census.
© 2013 Pearson Education, Inc.
Slide 7 - 7
True or False
A sample is a collection of people or
objects taken from the population of
interest.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 8
True or False
A sample is a collection of people or
objects taken from the population of
interest.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 9
A numerical characteristic of a sample of
data is called a
A. statistic.
B. sample.
C. estimator.
D. census.
© 2013 Pearson Education, Inc.
Slide 7 - 10
A numerical characteristic of a sample of
data is called a
A. statistic.
B. sample.
C. estimator.
D. census.
© 2013 Pearson Education, Inc.
Slide 7 - 11
True or False
We use parameters to estimate statistics.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 12
True or False
We use parameters to estimate statistics.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 13
True or False
Statistics are sometimes called estimators,
and the numbers that result are called
estimates.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 14
True or False
Statistics are sometimes called estimators,
and the numbers that result are called
estimates.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 15
True or False
Statistical inference is the art and science
of drawing conclusions about a population
on the basis of observing only a small
subset of that population.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 16
True or False
Statistical inference is the art and science
of drawing conclusions about a population
on the basis of observing only a small
subset of that population.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 17
True or False
Statistical inference always involves
uncertainty.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 18
True or False
Statistical inference always involves
uncertainty.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 19
True or False
An important difference between statistics
and parameters is that parameters are
knowable.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 20
True or False
An important difference between statistics
and parameters is that parameters are
knowable.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 21
True or False
Statisticians have developed notation for
keeping track of parameters and statistics.
In general, Greek characters are used to
represent population parameters. Statistics
(estimates based on a sample) are
represented by English letters.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 22
True or False
Statisticians have developed notation for
keeping track of parameters and statistics.
In general, Greek characters are used to
represent population parameters. Statistics
(estimates based on a sample) are
represented by English letters.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 23
In which way(s) can bias (a tendency to
produce an untrue value) enter a survey
A. from taking a sample that is not
representative of he population
B. from asking questions that do not
produce a true answer
C. from statistics that are naturally biased
D. All of the above
© 2013 Pearson Education, Inc.
Slide 7 - 24
In which way(s) can bias (a tendency to
produce an untrue value) enter a survey
A. from taking a sample that is not
representative of he population
B. from asking questions that do not
produce a true answer
C. from statistics that are naturally biased
D. All of the above
© 2013 Pearson Education, Inc.
Slide 7 - 25
Internet polls suffer because people tend to
respond to such surveys only if they have
strong feelings about the results; otherwise,
why bother? This is sometimes called
A. measurement bias
B. nonresponse bias
C. voluntary-response bias
D. natural bias
© 2013 Pearson Education, Inc.
Slide 7 - 26
Internet polls suffer because people tend to
respond to such surveys only if they have
strong feelings about the results; otherwise,
why bother? This is sometimes called
A. measurement bias
B. nonresponse bias
C. voluntary-response bias
D. natural bias
© 2013 Pearson Education, Inc.
Slide 7 - 27
A more subtle form of bias happens when
those being surveyed fail to answer a
question or respond to a survey. This is
called
A. measurement bias
B. nonresponse bias
C. voluntary-response bias
D. natural bias
© 2013 Pearson Education, Inc.
Slide 7 - 28
A more subtle form of bias happens when
those being surveyed fail to answer a
question or respond to a survey. This is
called
A. measurement bias
B. nonresponse bias
C. voluntary-response bias
D. natural bias
© 2013 Pearson Education, Inc.
Slide 7 - 29
When reading about a survey, it is important
to know
A. what percentage of people who were
asked to participate actually did so
B. whether the researchers chose people
to participate in the survey or people
themselves chose to participate
C. the size of the population
D. Both A and B above
© 2013 Pearson Education, Inc.
Slide 7 - 30
When reading about a survey, it is important
to know
A. what percentage of people who were
asked to participate actually did so
B. whether the researchers chose people
to participate in the survey or people
themselves chose to participate
C. the size of the population
D. Both A and B above
© 2013 Pearson Education, Inc.
Slide 7 - 31
True or False
Statisticians evaluate the method used for
a survey, not the outcome of a single
survey.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 32
True or False
Statisticians evaluate the method used for
a survey, not the outcome of a single
survey.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 33
True or False
No matter how many different samples we
take, the value of p (the population
proportion) changes from sample to
sample, but the value of pö is always the
same.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 34
True or False
No matter how many different samples we
take, the value of p (the population
proportion) changes from sample to
sample, but the value of pö is always the
same.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 35
The probability distribution of pö has a
special name:
A. population distribution
B. sampling distribution
C. probability density function
D. standard normal distribution
© 2013 Pearson Education, Inc.
Slide 7 - 36
The probability distribution of pö has a
special name:
A. population distribution
B. sampling distribution
C. probability density function
D. standard normal distribution
© 2013 Pearson Education, Inc.
Slide 7 - 37
True or False
Bias is measured using the center of the
sampling distribution: It is the distance
between the center and the population
value.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 38
True or False
Bias is measured using the center of the
sampling distribution: It is the distance
between the center and the population
value.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 39
True or False
Precision is measured using the standard
deviation of the sampling distribution,
which is called the standard error. When
the standard error is small, we say the
estimator is precise.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 40
True or False
Precision is measured using the standard
deviation of the sampling distribution,
which is called the standard error. When
the standard error is small, we say the
estimator is precise.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 41
True or False
The precision of an estimator does not
depend on the size of the population; it
depends only on the sample size. An
estimator based on a sample size of 10 is
just as precise in a population of 1000
people as in a population of a million.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 42
True or False
The precision of an estimator does not
depend on the size of the population; it
depends only on the sample size. An
estimator based on a sample size of 10 is
just as precise in a population of 1000
people as in a population of a million.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 43
True or False
Surveys based on larger sample sizes have
larger standard error (Se) and therefore
less precision. Increasing the sample size
decreases precision.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 44
True or False
Surveys based on larger sample sizes have
larger standard error (Se) and therefore
less precision. Increasing the sample size
decreases precision.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 45
Which of the following condition(s) on the
sample must be met for applying the
Central Limit Theorem for estimating
proportions in a population?
A. Random and Independent
B. Large Sample
C. Big Population
D. All of the above
© 2013 Pearson Education, Inc.
Slide 7 - 46
Which of the following condition(s) on the
sample must be met for applying the
Central Limit Theorem for estimating
proportions in a population?
A. Random and Independent
B. Large Sample
C. Big Population
D. All of the above
© 2013 Pearson Education, Inc.
Slide 7 - 47
True or False
If you don’t know the value of p, then you
can substitute the value of pö to calculate
the standard error.
A.True
B.False
© 2013 Pearson Education, Inc.
Slide 7 - 48
True or False
If you don’t know the value of p, then you
can substitute the value of pö to calculate
the standard error.
A.True
B.False
© 2013 Pearson Education, Inc.
Slide 7 - 49
True or False
If you don’t know the value of p, then you
can substitute the value of pö to calculate
the expected number of successes and
failures, when checking that the sample
size is large enough.
A.True
B.False
© 2013 Pearson Education, Inc.
Slide 7 - 50
True or False
If you don’t know the value of p, then you
can substitute the value of pö to calculate
the expected number of successes and
failures, when checking that the sample
size is large enough.
A.True
B.False
© 2013 Pearson Education, Inc.
Slide 7 - 51
True or False
The condition that the population must be
“big” is satisfied if the population is
A.twice the sample size
B.five times the sample size
C.ten times the sample size
D.twenty times the sample size
© 2013 Pearson Education, Inc.
Slide 7 - 52
True or False
The condition that the population must be
“big” is satisfied if the population is
A.twice the sample size
B.five times the sample size
C.ten times the sample size
D.twenty times the sample size
© 2013 Pearson Education, Inc.
Slide 7 - 53
True or False
If the conditions of a survey sample satisfy
those required by the ClT, then the
probability that a sample proportion will
fall within two standard errors of the
population value is 67%.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 54
True or False
If the conditions of a survey sample satisfy
those required by the ClT, then the
probability that a sample proportion will
fall within two standard errors of the
population value is 67%.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 55
True or False
The confidence level measures the capture
rate for our method of finding confidence
intervals.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 56
True or False
The confidence level measures the capture
rate for our method of finding confidence
intervals.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 57
True or False
It is correct to say that a particular
confidence interval has a 95% (or any other
percent) chance of including the true
population parameter.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 58
True or False
It is correct to say that a particular
confidence interval has a 95% (or any other
percent) chance of including the true
population parameter.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 59
True or False
It is correct to say that the process that
produces intervals captures the true
population parameter with a 95%
probability.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 60
True or False
It is correct to say that the process that
produces intervals captures the true
population parameter with a 95%
probability.
A. True
B. False
© 2013 Pearson Education, Inc.
Slide 7 - 61