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Introduction to Statistical
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Investigations, 2nd Edition
T
A_V
TEST BANK
MIA
E_DA
Nathan Tintle, Beth L. Chance, George W. Cobb
CPO
Comprehensive Test Bank for Instructors
and Students
PNR
||| ||| || ||| || | || ||| | || ||| |
NOO
9781119683452
© Nathan Tintle, Beth L. Chance & George W. Cobb. All
VIESS
rights reserved. Reproduction or distribution without
permission is prohibited.
DE?U
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© MEDGEEK
,TU S
TABLE OF CONTENTS
Test Bank – Introduction to Statistical Investigations (2nd Edition)
Authors: Nathan Tintle, Beth L. Chance, George W. Cobb, et al.
ISBN: 9781119683452
VI U
UNIT 1: THE FOUR-STEP PROCESS
T
Chapter 1: Significance: How Strong is the Evidence?
A_V
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?
UNIT 2: COMPARING TWO GROUPS
MIA
Chapter 5: Comparing Two Proportions
Chapter 6: Comparing Two Means
Chapter 7: Paired Data: One Quantitative Variable
E_DA
UNIT 3: COMPARING MULTIPLE GROUPS AND MODELING
Chapter 8: Comparing More Than Two Proportions
Chapter 9: Comparing More Than Two Means
CPO
Chapter 10: Two Quantitative Variables
Chapter 11: Modeling Randomness
PNR
NOO
VIESS
DE?U
R?
,TU S
TB Introduction To Statistical Inve stiga-
tionsb 2nd Edition Beth L.Chance
Chapter 1
VI U
Introduction to Statistical Investigations Test Bank
T
Note: TE = Text entry TE-N = Text entry - Numeric
A_V
Ma = Matching MS = Multiple select
MC = Multiple choice TF = True-False
E = Easy, M = Medium, H = Hard
MIA
CHAPTER 1 LEARNING OBJECTIVES
CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
E_DA
CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides against
the null hypothesis.
CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength of
evidence it provides against a null hypothesis.
CPO
CLO1-4: Describe how the distance of the observed statistic from the parameter value specified
by 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.
PNR
Section 1.1: Introduction to Chance Models
NOO
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 simulation.
VIESS
LO1.1-4: Identify whether or not study results are statistically significant and whether or not the
chance model is a plausible explanation for the data.
LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chance model, and
comment on strength of evidence against observed study results happening by chance
alone.
DE?U
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is the
correct explanation for the observed data.
R?
FOR INSTRUCTOR USE ONLY
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
TU S
Questions 1 through 4:
Do red uniform wearers tend to win more often than those wearing blue uniforms in
Taekwondo matches where competitors are randomly assigned to wear either a red or
blue uniform? In a sample of 80 Taekwondo matches, there were 45 matches where the
VI U
red uniform wearer won.
1. What is the parameter of interest for this study?
T
A. The long-run proportion of Taekwondo matches in which the red uniform wearer
A_V
wins
B. The proportion of matches in which the red uniform wearer wins in a sample of 80
Taekwondo matches
C. Whether the red uniform wearer wins a match
MIA
D. 0.50
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
2. What is the statistic for this study?
E_DA
A. The long-run proportion of Taekwondo matches in which the red uniform wearer
wins
B. The proportion of matches in which the red uniform wearer wins in a sample of 80
Taekwondo matches
CPO
C. Whether the red uniform wearer wins a match
D. 0.50
Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
3. Given below is the simulated distribution of the number of ―red wins‖ that could happen by
PNR
chance alone in a sample of 80 matches. Based on this simulation, is our observed result
statistically significant?
NOO
VIESS
DE?U
A. Yes, since 45 is larger than 40.
B. Yes, since the height of the dotplot above 45 is smaller than the height of the
dotplot above 40.
C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform was
R?
determined by chance alone.
FOR INSTRUCTOR USE ONLY
TU S
Introduction to Statistical
VI U
Investigations, 2nd Edition
T
A_V
TEST BANK
MIA
E_DA
Nathan Tintle, Beth L. Chance, George W. Cobb
CPO
Comprehensive Test Bank for Instructors
and Students
PNR
||| ||| || ||| || | || ||| | || ||| |
NOO
9781119683452
© Nathan Tintle, Beth L. Chance & George W. Cobb. All
VIESS
rights reserved. Reproduction or distribution without
permission is prohibited.
DE?U
R?
© MEDGEEK
,TU S
TABLE OF CONTENTS
Test Bank – Introduction to Statistical Investigations (2nd Edition)
Authors: Nathan Tintle, Beth L. Chance, George W. Cobb, et al.
ISBN: 9781119683452
VI U
UNIT 1: THE FOUR-STEP PROCESS
T
Chapter 1: Significance: How Strong is the Evidence?
A_V
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?
UNIT 2: COMPARING TWO GROUPS
MIA
Chapter 5: Comparing Two Proportions
Chapter 6: Comparing Two Means
Chapter 7: Paired Data: One Quantitative Variable
E_DA
UNIT 3: COMPARING MULTIPLE GROUPS AND MODELING
Chapter 8: Comparing More Than Two Proportions
Chapter 9: Comparing More Than Two Means
CPO
Chapter 10: Two Quantitative Variables
Chapter 11: Modeling Randomness
PNR
NOO
VIESS
DE?U
R?
,TU S
TB Introduction To Statistical Inve stiga-
tionsb 2nd Edition Beth L.Chance
Chapter 1
VI U
Introduction to Statistical Investigations Test Bank
T
Note: TE = Text entry TE-N = Text entry - Numeric
A_V
Ma = Matching MS = Multiple select
MC = Multiple choice TF = True-False
E = Easy, M = Medium, H = Hard
MIA
CHAPTER 1 LEARNING OBJECTIVES
CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
E_DA
CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides against
the null hypothesis.
CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength of
evidence it provides against a null hypothesis.
CPO
CLO1-4: Describe how the distance of the observed statistic from the parameter value specified
by 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.
PNR
Section 1.1: Introduction to Chance Models
NOO
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 simulation.
VIESS
LO1.1-4: Identify whether or not study results are statistically significant and whether or not the
chance model is a plausible explanation for the data.
LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chance model, and
comment on strength of evidence against observed study results happening by chance
alone.
DE?U
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is the
correct explanation for the observed data.
R?
FOR INSTRUCTOR USE ONLY
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
TU S
Questions 1 through 4:
Do red uniform wearers tend to win more often than those wearing blue uniforms in
Taekwondo matches where competitors are randomly assigned to wear either a red or
blue uniform? In a sample of 80 Taekwondo matches, there were 45 matches where the
VI U
red uniform wearer won.
1. What is the parameter of interest for this study?
T
A. The long-run proportion of Taekwondo matches in which the red uniform wearer
A_V
wins
B. The proportion of matches in which the red uniform wearer wins in a sample of 80
Taekwondo matches
C. Whether the red uniform wearer wins a match
MIA
D. 0.50
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
2. What is the statistic for this study?
E_DA
A. The long-run proportion of Taekwondo matches in which the red uniform wearer
wins
B. The proportion of matches in which the red uniform wearer wins in a sample of 80
Taekwondo matches
CPO
C. Whether the red uniform wearer wins a match
D. 0.50
Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
3. Given below is the simulated distribution of the number of ―red wins‖ that could happen by
PNR
chance alone in a sample of 80 matches. Based on this simulation, is our observed result
statistically significant?
NOO
VIESS
DE?U
A. Yes, since 45 is larger than 40.
B. Yes, since the height of the dotplot above 45 is smaller than the height of the
dotplot above 40.
C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform was
R?
determined by chance alone.
FOR INSTRUCTOR USE ONLY
