Transcript RQ14 (7_1-7_2)x

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
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A sample is a collection of people or objects
taken from the population of interest.
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Slide 7 - 2
A numerical value that characterizes
some aspect of a population is called a
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A.
statistic.
B.
census.
C.
parameter.
D.
sample.
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Slide 7 - 3
A numerical characteristic of a
sample of data is called a
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statistic.
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sample.
C.
population.
D.
parameter.
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Slide 7 - 4
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We use parameters to estimate statistics.
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Slide 7 - 5
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An important difference between statistics and
parameters is that parameters are knowable.
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Slide 7 - 6
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.
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Slide 7 - 7
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
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Slide 7 - 8
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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.
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Slide 7 - 9
The probability distribution of
a special name:
A.
population
distribution
B.
sampling
distribution
has
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C.
probability
density function
D.
standard normal
distribution
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Slide 7 - 10
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Bias is measured using the center of the
sampling distribution: It is the distance
between the center and the population value.
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Slide 7 - 11