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Introductory Statistics:
Exploring the World through Data, 1e
by Gould and Ryan
Chapter 6: Modeling Random Events:
RQ10-Sections 6.1-6.2
© 2013 Pearson Education, Inc.
Slide 6 - 1
A probability distribution, sometimes
called a probability distribution function
(pdf) tells us
A.
all the possible
outcomes of a random
experiment
B.
the probability of each
outcome
C.
Both A and B above
D.
None of
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the above
© 2013 Pearson Education, Inc.
0%
A.
0%
B.
0%
C.
0%
D.
Slide 6 - 2
True or False
Continuous outcomes (or continuous
variables) cannot be listed or counted because
they occur over a range.
A.
B.
True
False
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B.
Slide 6 - 3
True or False
The probabilities for a continuous-valued
random experiment are represented as areas
under curves, and are called a probability
density curves.
A.
B.
True
False
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A.
© 2013 Pearson Education, Inc.
B.
Slide 6 - 4
True or False
One reason the Normal model is the most
widely used probability model for continuous
numerical variables is that many numerical
variables in which researchers have
historically been interested have distributions
for which the Normal model provides a very
close fit.
A.
B.
True
False
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A.
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B.
Slide 6 - 5
Which of the following represent a
Normal
Curve (or Normal Distribution)?
A.
B.
C.
D.
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A.
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B.
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Slide 6 - 6
D.
In the normal curve, if the standard
deviation is large, then the Normal
curve is
A.
wide and low
B.
narrow and tall
C.
wide and tall
D.
narrow and low
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A.
© 2013 Pearson Education, Inc.
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B.
0%
C.
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D.
Slide 6 - 7
Determine whether the random
variable is discrete or continuous.
The number of songs on an MP3
player
tin
uo
us
0%
Co
n
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© 2013 Pearson Education, Inc.
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re
te
B.
Continuous
Discrete
Di
sc
A.
Slide 6 - 8
Use the graph of the given normal
distribution to identify μ and σ
62
68
74
80
86
A.
μ = 80 and σ = 36
B.
μ = 80 and σ = 6
C.
μ = 62 and σ = 98
D.
μ = 6 and σ = 80
92
98 X
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© 2013 Pearson Education, Inc.
Slide 6 - 9
Determine the required value of the
missing probability to make the
distribution a discrete probability
distribution.
0.15
D.
0.35
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1
0.30
2
?
3
0.10
0%
© 2013 Pearson Education, Inc.
0%
0%
0%
0.
35
C.
0.25
0.
15
0.65
0
0.
65
B.
0.25
P(X)
0.
25
A.
X
Slide 6 - 10
All students in a class were asked how many times
they had read the city newspaper in the past 5
days. The data is in the chart below. What
proportion read the newspaper more than 3 times
in the past 5 days?
Times
Read
Newspaper
Probability
0
0.25
1
0.05
0.1
2
B.
0.5
3
C.
0.6
4
D.
1.0
5
E.
None of the above
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0.10
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No
ne
of
th
ea
bo
ve
1.
0
0.
6
0.35
0.
5
0.15
0.
1
A.
© 2013 Pearson Education, Inc.
Slide 6 - 11