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Active Learning Lecture Slides
For use with Classroom Response Systems
Introductory 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.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 2
A numerical value that characterizes
some aspect of a population is called a
25%
A.
statistic.
B.
census.
C.
parameter.
D.
sample.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 3
A survey in which every member of the
population is measured is called a
25%
A.
statistic.
B.
sample.
C.
estimator.
D.
census.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 4
True or False
A sample is a collection of people or objects
taken from the population of interest.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 5
A numerical characteristic of a
sample of data is called a
25%
A.
statistic.
B.
sample.
C.
estimator.
D.
census.
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 6
True or False
We use parameters to estimate statistics.
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A.
B.
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True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 7
True or False
Statistics are sometimes called estimators, and
the numbers that result are called estimates.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 8
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.
50%
A.
B.
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True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 9
True or False
Statistical inference always involves
uncertainty.
50%
A.
B.
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True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 10
True or False
An important difference between statistics and
parameters is that parameters are knowable.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 11
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.
50%
50%
A.
B.
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 12
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 25%
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
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 13
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
25%
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 14
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
25%
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 15
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.
25%
A.
25%
25%
B.
C.
25%
D.
Slide 7 - 16
True or False
Statisticians evaluate the method used for a
survey, not the outcome of a single survey.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 17
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 is always the same.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 18
The probability distribution of
a special name:
A.
population
distribution
B.
sampling
distribution
C.
probability
density function
D.
standard normal
distribution
25%
A.
© 2013 Pearson Education, Inc.
has
25%
25%
B.
C.
25%
D.
Slide 7 - 19
True or False
Bias is measured using the center of the
sampling distribution: It is the distance
between the center and the population value.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 20
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.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 21
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
50%
50%
a million.
A.
B.
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 22
True or False
Surveys based on larger sample sizes have
larger standard error (Se) and therefore less
precision. Increasing the sample size
decreases precision.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 23
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
25%
B.
Large Sample
C.
Big Population
D.
All of the above
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 24
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.
50%
50%
A.
B.
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 25
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.
50%
50%
A.
B.
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 26
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
25%
A.
© 2013 Pearson Education, Inc.
25%
25%
B.
C.
25%
D.
Slide 7 - 27
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%.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 28
True or False
The confidence level measures the capture rate
for our method of finding confidence intervals.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 29
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.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 30
True or False
It is correct to say that the process that
produces intervals captures the true
population parameter with a 95% probability.
50%
A.
B.
50%
True
False
A.
© 2013 Pearson Education, Inc.
B.
Slide 7 - 31