Test Bank for Introduction to
Statistical Investigations, 2nd Edition
— Complete Questions & Rationales
by Nathan Tintle & Beth L. Chance,
Chapters 1–11 | Verified 2025–2026
TABLE OF CONTENTS
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
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, Chapter 1
Note: TE = Text entry TE-N = Text entry - NumericMa
= Matching MS = Multiple select
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 occur.
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 of
evidence it provides against a null hypothesis.
CLO1-4: Describe how the distance of the observed statistic from the parameter value specifiedby 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 simulation.
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.
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is the correct
explanation for the observed data.
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
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 thered uniform
wearer won.
1. What is the parameter of interest for this study?
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
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
D. 0.50
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
2. What is the statistic for this study?
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
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
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
chance alone in a sample of 80 matches. Based on this simulation, is our observed result
statistically significant?
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
determined by chance alone.
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, Introduction to Financial Statements 1-3
D. No, since we could have observed a value greater than 45 just by random chance.
Ans: C; LO: 1.1-4; Difficulty: Medium; Type: MC
4. What can we conclude from the results of this study? Select all that apply.
A. The results of this study are something that could easily have happened if thecolor
of the winner‘s uniform was determined by chance alone.
B. We do not have convincing evidence against the ―by-chance-alone‖ model.
C. The results of this study prove that the color of the winner‘s uniform was
determined by chance alone.
D. We do not have convincing evidence that red uniform wearers tend to win moreoften
than those wearing blue uniforms.
Ans: A, B, D; LO: 1.1-6; Difficulty: Hard; Type: MS
Questions 5 through 8:
Suppose you are testing to see if your dog, Hope, understands pointing towards an object. You place two
objects about 2.5 meters away, then you point towards one of the objects. In 20 trials,Hope goes to the
correct object 13 times (or 65%).
5. Fill in the blanks with the correct One Proportion applet inputs to carry out an appropriate
simulation of this process, if Hope does not understand pointing towards an object and is just
guessing.
Probability of success: Sample
size:
Number of samples:
Ans: 0.5 (Tol: 0), 20 (Tol: 0), Any integer as larger or larger than 1000; LO: 1.1-3;
Difficulty: Easy; Type: TE-N
6. Match the parts of the real study corresponding to the physical (coin-flipping) simulation:
Coin flip = A. 0.5, probability of Hope going to the
correct object
Heads =
B. Hope going to the correct object
Tails =
C. Hope going to the incorrect object
Chance of heads =
D. One set of 20 attempts by Hope
One repetition =
E. Hope going to an object
Ans: E, B, C, A, D; LO: 1.1-2; Difficulty: Medium; Type: Ma
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
Statistical Investigations, 2nd Edition
— Complete Questions & Rationales
by Nathan Tintle & Beth L. Chance,
Chapters 1–11 | Verified 2025–2026
TABLE OF CONTENTS
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
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, Chapter 1
Note: TE = Text entry TE-N = Text entry - NumericMa
= Matching MS = Multiple select
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 occur.
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 of
evidence it provides against a null hypothesis.
CLO1-4: Describe how the distance of the observed statistic from the parameter value specifiedby 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 simulation.
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.
LO1.1-6: Differentiate between saying the chance model is plausible and the chance model is the correct
explanation for the observed data.
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, 1-2 Test Bank for Introduction to Statistical Investigations, 2nd Edition
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 thered uniform
wearer won.
1. What is the parameter of interest for this study?
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
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
D. 0.50
Ans: A; LO: 1.1-1; Difficulty: Easy; Type: MC
2. What is the statistic for this study?
A. The long-run proportion of Taekwondo matches in which the red uniform wearerwins
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
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
chance alone in a sample of 80 matches. Based on this simulation, is our observed result
statistically significant?
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
determined by chance alone.
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
, Introduction to Financial Statements 1-3
D. No, since we could have observed a value greater than 45 just by random chance.
Ans: C; LO: 1.1-4; Difficulty: Medium; Type: MC
4. What can we conclude from the results of this study? Select all that apply.
A. The results of this study are something that could easily have happened if thecolor
of the winner‘s uniform was determined by chance alone.
B. We do not have convincing evidence against the ―by-chance-alone‖ model.
C. The results of this study prove that the color of the winner‘s uniform was
determined by chance alone.
D. We do not have convincing evidence that red uniform wearers tend to win moreoften
than those wearing blue uniforms.
Ans: A, B, D; LO: 1.1-6; Difficulty: Hard; Type: MS
Questions 5 through 8:
Suppose you are testing to see if your dog, Hope, understands pointing towards an object. You place two
objects about 2.5 meters away, then you point towards one of the objects. In 20 trials,Hope goes to the
correct object 13 times (or 65%).
5. Fill in the blanks with the correct One Proportion applet inputs to carry out an appropriate
simulation of this process, if Hope does not understand pointing towards an object and is just
guessing.
Probability of success: Sample
size:
Number of samples:
Ans: 0.5 (Tol: 0), 20 (Tol: 0), Any integer as larger or larger than 1000; LO: 1.1-3;
Difficulty: Easy; Type: TE-N
6. Match the parts of the real study corresponding to the physical (coin-flipping) simulation:
Coin flip = A. 0.5, probability of Hope going to the
correct object
Heads =
B. Hope going to the correct object
Tails =
C. Hope going to the incorrect object
Chance of heads =
D. One set of 20 attempts by Hope
One repetition =
E. Hope going to an object
Ans: E, B, C, A, D; LO: 1.1-2; Difficulty: Medium; Type: Ma
:Intr oducti on to Statistic al Inv esti gations T est Bank, N athan Ti ntl e, Beth L. Chanc e, Statistic s Ex am Prep 2025, T est Bank Cha pters 1–11, Statistic al Methods Questi ons and Answ ers, Statisti cs Study Guide, Probability and Data Analy sis T est Bank , Statistics Ex am Practic e, Tintle Chanc e Study M aterial , Statistics R ati onal es, Statis tics Practi ce Ex am 2026, Intr o to Statistics Test Bank, Stati stic al Investigati ons Study M aterial , Statistics Ex am Pr ep 2025 –2026 _____________________________________________________________________________________________
