TEST BANK nn nn
Introduction to Statistical Investigations,
nn nn nn nn
nd
2 Edition Nathan Tintle; Beth L. Chance
nn nn nn nn nn nn
Chapters 1 - 11, Complete
nn nn nn nn nn
FOR INSTRUCTOR USE
nn nn
ONLY
,TABLE OF CONTENTS
nn nn nn
Chapter 1 – Significance: How Strong is the Evidence
nn nn nn nn nn nn nn nn nn
Chapter 2 – Generalization: How Broadly Do the Results Apply?
nn nn nn nn nn nn nn nn nn nn
Chapter 3 – Estimation: How Large is the Effect?
nn nn nn nn nn nn nn nn nn
Chapter 4 – Causation: Can We Say What Caused the Effect?
nn nn nn nn nn nn nn nn nn nn nn
Chapter 5 – Comparing Two Proportions
nn nn nn nn nn nn
Chapter 6 – Comparing Two Means
nn nn nn nn nn nn
Chapter 7 – Paired Data: One Quantitative Variable
nn nn nn nn nn nn nn nn
Chapter 8 – Comparing More Than Two Proportions
nn nn nn nn nn nn nn nn
Chapter 9 – Comparing More Than Two Means
nn nn nn nn nn nn nn nn
Chapter 10 – Two Quantitative Variables
nn nn nn nn nn nn
Chapter 11 – Modeling Randomness
nn nn nn nn
FOR INSTRUCTOR USE
nn nn
ONLY
,Chapter 1 n n
Note: nn nn nn TE = n n n n Text entry nn TE-N = Text entry - nn nn nn nn
nn NumericMa = n n n n n Matching MS = Multiple select
n n nn nn
MC = n n n n Multiple choice nn TF = True-FalseE
nn nn n
nn = Easy, M = Medium, H = Hard
nn nn nn nn nn nn nn
CHAPTER 1 LEARNING OBJECTIVES nn nn nn
CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides againstthe
nn nn nn nn nn nn nn nn nn nn nn nn nn nn n
null hypothesis.
nn nn
CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength
nn nn nn nn nn nn nn nn nn nn nn nn
ofevidence it provides against a null hypothesis.
nn n nn nn nn nn nn nn
CLO1-4: Describe how the distance of the observed statistic from the parameter value specifiedby
nn nn nn nn nn nn nn nn nn nn nn nn nn n
the null hypothesis, sample size, and one- vs. two-sided tests affect the strength of evidence
nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
against the null hypothesis.
nn nn nn nn
CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
nn nn nn nn nn nn nn nn nn
Section 1.1: Introduction to Chance Models nn nn nn nn nn
LO1.1-1: Recognize the difference between parameters and statistics.
nn nn nn nn nn nn nn
LO1.1-2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran-
nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
dom choice between two events.
n nn nn nn nn
LO1.1-3: Use the One Proportion applet to carry out the coin tossing simulation.
nn nn nn nn nn nn nn nn nn nn nn nn
LO1.1-4: Identify whether or not study results are statistically significant and whether or not
nn nn nn nn nn nn nn nn nn nn nn nn nn
thechance model is a plausible explanation for the data.
nn n nn nn nn nn nn nn nn nn
LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chance model,
nn nn nn nn nn nn nn nn nn nn nn nn nn
andcomment on strength of evidence against observed study results happening by chance
nn n nn nn nn nn nn nn nn nn nn nn nn
alone. nn
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is
nn nn nn nn nn nn nn nn nn nn nn nn nn
thecorrect explanation for the observed data.
nn n nn nn nn nn nn
FOR INSTRUCTOR USE nn nn
ONLY
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
nn nn nn nn nn nn nn nn
Questions 1 through 4:
nn nn nn
Do red uniform wearers tend to win more often than those wearing blue uniforms in
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
Taekwondo matches where competitors are randomly assigned to wear either a red or blue
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
uniform? In a sample of 80 Taekwondo matches, there were 45 matches where thered
nn nn nn nn nn nn nn nn nn nn nn nn nn nn n
uniform wearer won.
nn nn nn
1. What is the parameter of interest for this study?
nn nn nn nn nn nn nn nn
A. The long-run proportion of Taekwondo matches in which the red uniform
nn nn nn nn nn nn nn nn nn nn
wearerwins nn n
B. The proportion of matches in which the red uniform wearer wins in a sample of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
80Taekwondo matches
nn n nn
C. Whether the red uniform wearer wins a match nn nn nn nn nn nn nn
D. 0.50 nn
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
nn nn nn nn nn nn nn
2. What is the statistic for this study?
nn nn nn nn nn nn
A. The long-run proportion of Taekwondo matches in which the red uniform
nn nn nn nn nn nn nn nn nn nn
wearerwins nn n
B. The proportion of matches in which the red uniform wearer wins in a sample of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
80Taekwondo matches
nn n nn
C. Whether the red uniform wearer wins a match nn nn nn nn nn nn nn
D. 0.50 nn
Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
nn nn nn nn nn nn nn
3. Given below is the simulated distribution of the number of ―red wins‖ that could happen
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
by chance alone in a sample of 80 matches. Based on this simulation, is our observed result
nn n nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
statistically significant?
nn nn
A. Yes, since 45 is larger than 40. nn nn nn nn nn nn
B. Yes, since the height of the dotplot above 45 is smaller than the height of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
thedotplot above 40.
nn n nn nn
C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
FOR INSTRUCTOR USE nn nn
ONLY
Introduction to Statistical Investigations,
nn nn nn nn
nd
2 Edition Nathan Tintle; Beth L. Chance
nn nn nn nn nn nn
Chapters 1 - 11, Complete
nn nn nn nn nn
FOR INSTRUCTOR USE
nn nn
ONLY
,TABLE OF CONTENTS
nn nn nn
Chapter 1 – Significance: How Strong is the Evidence
nn nn nn nn nn nn nn nn nn
Chapter 2 – Generalization: How Broadly Do the Results Apply?
nn nn nn nn nn nn nn nn nn nn
Chapter 3 – Estimation: How Large is the Effect?
nn nn nn nn nn nn nn nn nn
Chapter 4 – Causation: Can We Say What Caused the Effect?
nn nn nn nn nn nn nn nn nn nn nn
Chapter 5 – Comparing Two Proportions
nn nn nn nn nn nn
Chapter 6 – Comparing Two Means
nn nn nn nn nn nn
Chapter 7 – Paired Data: One Quantitative Variable
nn nn nn nn nn nn nn nn
Chapter 8 – Comparing More Than Two Proportions
nn nn nn nn nn nn nn nn
Chapter 9 – Comparing More Than Two Means
nn nn nn nn nn nn nn nn
Chapter 10 – Two Quantitative Variables
nn nn nn nn nn nn
Chapter 11 – Modeling Randomness
nn nn nn nn
FOR INSTRUCTOR USE
nn nn
ONLY
,Chapter 1 n n
Note: nn nn nn TE = n n n n Text entry nn TE-N = Text entry - nn nn nn nn
nn NumericMa = n n n n n Matching MS = Multiple select
n n nn nn
MC = n n n n Multiple choice nn TF = True-FalseE
nn nn n
nn = Easy, M = Medium, H = Hard
nn nn nn nn nn nn nn
CHAPTER 1 LEARNING OBJECTIVES nn nn nn
CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
CLO1-2: Calculate and interpret a p-value, and state the strength of evidence it provides againstthe
nn nn nn nn nn nn nn nn nn nn nn nn nn nn n
null hypothesis.
nn nn
CLO1-3: Calculate a standardized statistic for a single proportion and evaluate the strength
nn nn nn nn nn nn nn nn nn nn nn nn
ofevidence it provides against a null hypothesis.
nn n nn nn nn nn nn nn
CLO1-4: Describe how the distance of the observed statistic from the parameter value specifiedby
nn nn nn nn nn nn nn nn nn nn nn nn nn n
the null hypothesis, sample size, and one- vs. two-sided tests affect the strength of evidence
nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
against the null hypothesis.
nn nn nn nn
CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
nn nn nn nn nn nn nn nn nn
Section 1.1: Introduction to Chance Models nn nn nn nn nn
LO1.1-1: Recognize the difference between parameters and statistics.
nn nn nn nn nn nn nn
LO1.1-2: Describe how to use coin tossing to simulate outcomes from a chance model of the ran-
nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
dom choice between two events.
n nn nn nn nn
LO1.1-3: Use the One Proportion applet to carry out the coin tossing simulation.
nn nn nn nn nn nn nn nn nn nn nn nn
LO1.1-4: Identify whether or not study results are statistically significant and whether or not
nn nn nn nn nn nn nn nn nn nn nn nn nn
thechance model is a plausible explanation for the data.
nn n nn nn nn nn nn nn nn nn
LO1.1-5: Implement the 3S strategy: find a statistic, simulate results from a chance model,
nn nn nn nn nn nn nn nn nn nn nn nn nn
andcomment on strength of evidence against observed study results happening by chance
nn n nn nn nn nn nn nn nn nn nn nn nn
alone. nn
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is
nn nn nn nn nn nn nn nn nn nn nn nn nn
thecorrect explanation for the observed data.
nn n nn nn nn nn nn
FOR INSTRUCTOR USE nn nn
ONLY
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
nn nn nn nn nn nn nn nn
Questions 1 through 4:
nn nn nn
Do red uniform wearers tend to win more often than those wearing blue uniforms in
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
Taekwondo matches where competitors are randomly assigned to wear either a red or blue
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
uniform? In a sample of 80 Taekwondo matches, there were 45 matches where thered
nn nn nn nn nn nn nn nn nn nn nn nn nn nn n
uniform wearer won.
nn nn nn
1. What is the parameter of interest for this study?
nn nn nn nn nn nn nn nn
A. The long-run proportion of Taekwondo matches in which the red uniform
nn nn nn nn nn nn nn nn nn nn
wearerwins nn n
B. The proportion of matches in which the red uniform wearer wins in a sample of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
80Taekwondo matches
nn n nn
C. Whether the red uniform wearer wins a match nn nn nn nn nn nn nn
D. 0.50 nn
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
nn nn nn nn nn nn nn
2. What is the statistic for this study?
nn nn nn nn nn nn
A. The long-run proportion of Taekwondo matches in which the red uniform
nn nn nn nn nn nn nn nn nn nn
wearerwins nn n
B. The proportion of matches in which the red uniform wearer wins in a sample of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
80Taekwondo matches
nn n nn
C. Whether the red uniform wearer wins a match nn nn nn nn nn nn nn
D. 0.50 nn
Ans: B; LO: 1.1-1; Difficulty: Easy; Type: MC
nn nn nn nn nn nn nn
3. Given below is the simulated distribution of the number of ―red wins‖ that could happen
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
by chance alone in a sample of 80 matches. Based on this simulation, is our observed result
nn n nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
statistically significant?
nn nn
A. Yes, since 45 is larger than 40. nn nn nn nn nn nn
B. Yes, since the height of the dotplot above 45 is smaller than the height of
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
thedotplot above 40.
nn n nn nn
C. No, since 45 is a fairly typical outcome if the color of the winner‘s uniform
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
FOR INSTRUCTOR USE nn nn
ONLY