TESTBANK
IntroductiontoStatisticalInvestigations,
2ndEditionNathanTintle;BethL.Chance
Chapters1-11,Complete
FOR INSTRUCTOR USE ONL
, R R
Chapter 1 – Significance: How Strong is the Evidence
Chapter 2 –
Generalization: How Broadly Do the Results Apply? Chapter
3 – Estimation: How Large is the Effect?
Chapter 4 –
Causation: Can We Say What Caused the Effect? Chapter 5 –
Comparing Two Proportions
Chapter 6 – Comparing Two Means
Chapter 7 –
Paired Data: One Quantitative Variable Chapter 8
–
Comparing More Than Two Proportions Chapter 9
– Comparing More Than Two Means Chapter 10 –
Two Quantitative Variables
Chapter 11 – Modeling Randomness
FOR INSTRUCTOR USE O
,Chapter 1
Note: TE = Text entry TE-N = Text entry -
NumericMa = Matching
MS = Multiple sele
ct MC = Multiple choice TF = True-
FalseE = Easy, M = Medium, H = Hard
CHAPTER 1 LEARNING OBJECTIVES
CLO1-
1: Use the chance model to determine whether an observed statistic is unlikely to o
ccur. CLO1-2: Calculate and interpret a p-
value, and state the strength of evidence it provides againstthe null hypothesis.
CLO1-
3: Calculate a standardized statistic for a single proportion and evaluate the strength
ofevide nce it provides against a null hypothesis.
CLO1-
4: Describe how the distance of the observed statistic from the parameter value specifie
dby the null hypothesis, sample size, and one- vs. two-
sided tests affect the strength of evidence against the null hypothesis.
CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
Section 1.1: Introduction to Chance Models
LO1.1-1: Recognize the difference between parameters and statistics.
LO1.1-
2: Describe how to use coin tossing to simulate outcomes from a chance model
of the ran- dom choice between two events.
LO1.1-
3: Use the One Proportion applet to carry out the coin tossing simulati
on. LO1.1-
LO1.1- LO1.1-
FOR INSTRUCTOR USE O
, 4: Identi ind a statistic, simulate results from a chance model, andcomm ent on strength of evi
fy whet dence against observed study results happening by chance alone.
her or
not stud
y results 6: Differentiate between saying the chance model is plausible and the chance model is
are sta thecorrec t explanation for the observed data.
tistically
significa
nt and
whether
or not
thecha
nce mo
del is a
plausibl
e explan
ation for
the dat
a.
5
:
I
m
p
l
e
m
e
n
t
t
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e
3
S
s
t
r
a
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:
f
FOR INSTRUCTOR USE O
IntroductiontoStatisticalInvestigations,
2ndEditionNathanTintle;BethL.Chance
Chapters1-11,Complete
FOR INSTRUCTOR USE ONL
, R R
Chapter 1 – Significance: How Strong is the Evidence
Chapter 2 –
Generalization: How Broadly Do the Results Apply? Chapter
3 – Estimation: How Large is the Effect?
Chapter 4 –
Causation: Can We Say What Caused the Effect? Chapter 5 –
Comparing Two Proportions
Chapter 6 – Comparing Two Means
Chapter 7 –
Paired Data: One Quantitative Variable Chapter 8
–
Comparing More Than Two Proportions Chapter 9
– Comparing More Than Two Means Chapter 10 –
Two Quantitative Variables
Chapter 11 – Modeling Randomness
FOR INSTRUCTOR USE O
,Chapter 1
Note: TE = Text entry TE-N = Text entry -
NumericMa = Matching
MS = Multiple sele
ct MC = Multiple choice TF = True-
FalseE = Easy, M = Medium, H = Hard
CHAPTER 1 LEARNING OBJECTIVES
CLO1-
1: Use the chance model to determine whether an observed statistic is unlikely to o
ccur. CLO1-2: Calculate and interpret a p-
value, and state the strength of evidence it provides againstthe null hypothesis.
CLO1-
3: Calculate a standardized statistic for a single proportion and evaluate the strength
ofevide nce it provides against a null hypothesis.
CLO1-
4: Describe how the distance of the observed statistic from the parameter value specifie
dby the null hypothesis, sample size, and one- vs. two-
sided tests affect the strength of evidence against the null hypothesis.
CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
Section 1.1: Introduction to Chance Models
LO1.1-1: Recognize the difference between parameters and statistics.
LO1.1-
2: Describe how to use coin tossing to simulate outcomes from a chance model
of the ran- dom choice between two events.
LO1.1-
3: Use the One Proportion applet to carry out the coin tossing simulati
on. LO1.1-
LO1.1- LO1.1-
FOR INSTRUCTOR USE O
, 4: Identi ind a statistic, simulate results from a chance model, andcomm ent on strength of evi
fy whet dence against observed study results happening by chance alone.
her or
not stud
y results 6: Differentiate between saying the chance model is plausible and the chance model is
are sta thecorrec t explanation for the observed data.
tistically
significa
nt and
whether
or not
thecha
nce mo
del is a
plausibl
e explan
ation for
the dat
a.
5
:
I
m
p
l
e
m
e
n
t
t
h
e
3
S
s
t
r
a
t
e
g
y
:
f
FOR INSTRUCTOR USE O
